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Martin Kircher

D-Index & Metrics

Biology and Biochemistry

D-Index
60
Citations
44204
World Ranking
11642
National Ranking
828

Martin Kircher publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Martin Kircher sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 103 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Martin Kircher D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Martin Kircher sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 60 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Martin Kircher is affiliated with Charité - University Medicine Berlin in Germany. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on Molecular Biology, Genetics, Cancer Research, Hematology, and Artificial Intelligence subfields.

Their scientific contributions address multiple topics, including:

  • Genomics and Rare Diseases
  • RNA and protein synthesis mechanisms
  • Genomics and Phylogenetic Studies
  • Genomics and Chromatin Dynamics
  • RNA modifications and cancer
  • Cancer Genomics and Diagnostics
  • RNA Research and Splicing

Martin Kircher has published extensively, with notable recent papers such as:

  • "CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores," 2021, Genome Medicine
  • "CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions," 2024, Nucleic Acids Research
  • "A systematic evaluation of the design and context dependencies of massively parallel reporter assays," 2020, Nature Methods
  • "lentiMPRA and MPRAflow for high-throughput functional characterization of gene regulatory elements," 2020, Nature Protocols
  • "Aberrant phase separation and nucleolar dysfunction in rare genetic diseases," 2023, Nature

The frequent venues hosting their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature
  • Genome Medicine
  • Nature Protocols

Collaboration is a notable aspect of their scholarly output. Frequent co-authors are:

  • Max Schubach
  • Jay Shendure
  • Nadav Ahituv
  • Beth Martin
  • Lusiné Nazaretyan

Best Publications

  • A general framework for estimating the relative pathogenicity of human genetic variants

    Martin Kircher;Daniela M Witten;Preti Jain;Brian J O'Roak;Brian J O'Roak

  • A Draft Sequence of the Neandertal Genome

    Richard E. Green;Johannes Krause;Adrian W. Briggs;Tomislav Maricic

  • CADD: predicting the deleteriousness of variants throughout the human genome.

    Philipp Rentzsch;Daniela M. Witten;Gregory M. Cooper;Jay Shendure

  • The complete genome sequence of a Neanderthal from the Altai Mountains

    Kay Prüfer;Fernando Racimo;Nick Patterson;Flora Jay

  • Genetic history of an archaic hominin group from Denisova Cave in Siberia

    David Reich;Richard E. Green;Martin Kircher;Johannes Krause

  • Illumina Sequencing Library Preparation for Highly Multiplexed Target Capture and Sequencing

    Matthias Meyer;Martin Kircher

  • A high-coverage genome sequence from an archaic Denisovan individual

    Matthias Meyer;Martin Kircher;Marie Theres Gansauge;Heng Li

  • The evolution of gene expression levels in mammalian organs

    David Brawand;Magali Soumillon;Magali Soumillon;Anamaria Necsulea;Anamaria Necsulea;Philippe Julien;Philippe Julien

  • Cell-free DNA comprises an in vivo nucleosome footprint that informs its tissues-of-origin

    M. W. Snyder;M. Kircher;A. J. Hill;R. M. Daza

  • Deep proteome and transcriptome mapping of a human cancer cell line

    Nagarjuna Nagaraj;Jacek R Wisniewski;Tamar Geiger;Juergen Cox

  • Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform

    Martin Kircher;Susanna Sawyer;Matthias Meyer

  • High-throughput DNA sequencing – concepts and limitations

    Martin Kircher;Janet Kelso

  • Denisova Admixture and the First Modern Human Dispersals into Southeast Asia and Oceania

    David Reich;Nick Patterson;Martin Kircher;Frederick Delfin

  • The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities

    Jessica X. Chong;Kati J. Buckingham;Shalini N. Jhangiani;Corinne Boehm

  • Ancient gene flow from early modern humans into Eastern Neanderthals

    Martin Kuhlwilm;Ilan Gronau;Melissa J. Hubisz;Cesare de Filippo

  • Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX

    Mikkel Schubert;Luca Ermini;Clio Der Sarkissian;Hákon Jónsson

  • CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores

    Philipp Rentzsch;Max Schubach;Jay Shendure;Martin Kircher

  • Removal of deaminated cytosines and detection of in vivo methylation in ancient DNA

    Adrian W. Briggs;Udo Stenzel;Matthias Meyer;Johannes Krause

  • A general framework for estimating the relative pathogenicity of human genetic variants

    Martin Kircher;Daniela M. Witten;Gregory M. Cooper;Jay Shendure

  • Methods, Models & Techniques High-throughput DNA sequencing - concepts and limitations

    Martin Kircher;Janet Kelso

Frequent Co-Authors

Jay Shendure
Jay Shendure University of Washington
Michael J. Bamshad
Michael J. Bamshad University of Washington
Deborah A. Nickerson
Deborah A. Nickerson University of Washington
Svante Pääbo
Svante Pääbo Max Planck Institute for Evolutionary Anthropology
Janet Kelso
Janet Kelso Max Planck Society
Matthias Meyer
Matthias Meyer Max Planck Society
Nadav Ahituv
Nadav Ahituv University of California, San Francisco
Hudson H. Freeze
Hudson H. Freeze Discovery Institute
Gregory M. Cooper
Gregory M. Cooper HudsonAlpha Institute for Biotechnology
Daniela Witten
Daniela Witten University of Washington

External Links

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