World's Best Scientists 2026 revealed!

D-Index & Metrics

Molecular Biology

D-Index
71
Citations
22917
World Ranking
1357
National Ranking
100

Manfred Schwab publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Manfred Schwab sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 207 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Manfred Schwab D-index placement in Molecular Biology in 2026

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

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 71 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Manfred Schwab is affiliated with the German Cancer Research Center in Germany. Their research bridges the fields of computer science and medicine, focusing on artificial intelligence applications and oncology.

The scientist's recent works cover a range of topics, including adversarial robustness in machine learning, anomaly detection techniques and applications, explainable artificial intelligence (XAI), peptidase inhibition and analysis, neuroendocrine tumor research advances, and lung cancer research studies.

Recent publications include:

  • INVERTIBLE NEURAL NETWORK FOR INFERENCE PIPELINE ANOMALY DETECTION, 2023, Zenodo (CERN European Organization for Nuclear Research)
  • Invertible Neural Network for Inference Pipeline Anomaly Detection, 2023, International Journal of Network Security & Its Applications
  • Molecular targeting of meningioma cell signaling reveals drug vulnerabilities impairing tumor cell viability, 2025, Brain and Spine

Frequent co-authors collaborating with Manfred Schwab include:

  • Ashis Kumer Biswas
  • Yasmin Kocas
  • Sarah Gendreizig
  • Eric Goulin Lippi Fernandes
  • Roland Coras

The scientist's work has been published primarily in the following venues:

  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Network Security & Its Applications
  • Brain and Spine

Manfred Schwab's research fields concentrate on computer science and medicine, with particular engagement in artificial intelligence and oncology subfields. These include:

  • Artificial Intelligence
  • Oncology
  • Epidemiology

The intersection of machine learning techniques with cancer research is evident across Schwab's publications, providing insight into both computational and biomedical challenges. The combination of anomaly detection and neural networks appears central to their recent investigations, while later work addresses molecular characteristics related to tumor viability and drug susceptibilities.

Best Publications

  • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

    Javed Khan;Jun S. Wei;Markus Ringnér;Markus Ringnér;Lao H. Saal

  • Amplified DNA with limited homology to myc cellular oncogene is shared by human neuroblastoma cell lines and a neuroblastoma tumour.

    Manfred Schwab;Kari Alitalo;Karl Heinz Klempnauer;Harold E. Varmus

  • Homogeneously staining chromosomal regions contain amplified copies of an abundantly expressed cellular oncogene (c-myc) in malignant neuroendocrine cells from a human colon carcinoma.

    K. Alitalo;Manfred Schwab;C. C. Lin;H. E. Varmus

  • A cellular oncogene (c-Ki- ras ) is amplified, overexpressed, and located within karyotypic abnormalities in mouse adrenocortical tumour cells

    Manfred Schwab;Kari Alitalo;Harold E. Varmus;J. Michael Bishop

  • N-myc enhances the expression of a large set of genes functioning in ribosome biogenesis and protein synthesis.

    Kathy Boon;Kathy Boon;Huib N. Caron;Ronald Van Asperen;Linda Valentijn

  • Enhanced expression of the human gene N-myc consequent to amplification of DNA may contribute to malignant progression of neuroblastoma.

    M Schwab;J Ellison;M Busch;W Rosenau

  • Oncogene amplification in tumor cells

    Kari Alitalo;Manfred Schwab

  • Conditional expression of N-myc in human neuroblastoma cells increases expression of α-prothymosin and ornithine decarboxylase and accelerates progression into S-phase early after mitogenic stimulation of quiescent cells

    Werner Lutz;Michael Stöhr;Jörg Schürmann;Achim Wenzel

  • Chromosome localization in normal human cells and neuroblastomas of a gene related to c- myc

    Manfred Schwab;Harold E. Varmus;J. Michael Bishop;Karl Heinz Grzeschik

  • Neuroblastoma: biology and molecular and chromosomal pathology

    Manfred Schwab;Frank Westermann;Barbara Hero;Frank Berthold

  • Arginine-glycine-aspartic acid (RGD)-peptide binds to both tumor and tumor-endothelial cells in vivo.

    Sabine Zitzmann;Volker Ehemann;Manfred Schwab

  • Customized Oligonucleotide Microarray Gene Expression–Based Classification of Neuroblastoma Patients Outperforms Current Clinical Risk Stratification

    André Oberthuer;Frank Berthold;Patrick Warnat;Barbara Hero

  • Human N-myc gene contributes to neoplastic transformation of mammalian cells in culture.

    Manfred Schwab;Harold E. Varmus;J. Michael Bishop

  • Microsatellite Instability and Mutation Analysis of hMSH2 and hMLH1 in Patients with Sporadic, Familial and Hereditary Colorectal Cancer

    Gabriela Moslein;Gabriela Moslein;David J. Tester;Noralane M. Lindor;Ronald Honchel

  • Genomic instability in 1p and human malignancies

    Manfred Schwab;Christian Praml;Lukas C. Amler

  • Distinct transcriptional MYCN/c-MYC activities are associated with spontaneous regression or malignant progression in neuroblastomas

    Frank Westermann;Daniel Muth;Axel Benner;Tobias Bauer

  • Amplification of cellular oncogenes: a predictor of clinical outcome in human cancer.

    Manfred Schwab;Lukas C. Amler

  • Regulation and Heteromeric Structure of the Fibroblast Activation Protein in Normal and Transformed Cells of Mesenchymal and Neuroectodermal Origin

    Wolfgang J. Rettig;Pilar Garin-Chesa;John H. Healey;Sai L. Su

  • Amplification of oncogenes in human cancer cells

    Manfred Schwab

  • Mutations of the p53 tumor suppressor gene in neoplasms of the human nervous system

    Hiroko Ohgaki;Hiroko Ohgaki;Robert H. Eibl;Martin B. Reichel;Luigi Mariani

Frequent Co-Authors

Frank Westermann
Frank Westermann German Cancer Research Center
Frank Berthold
Frank Berthold University of Cologne
Matthias Fischer
Matthias Fischer University of Cologne
Peter M. Schlag
Peter M. Schlag Charité - University Medicine Berlin
Benedikt Brors
Benedikt Brors German Cancer Research Center
Harold E. Varmus
Harold E. Varmus Cornell University
Roland Eils
Roland Eils Charité - University Medicine Berlin
Kari Alitalo
Kari Alitalo University of Helsinki
Tommy Martinsson
Tommy Martinsson University of Gothenburg
Jo Vandesompele
Jo Vandesompele Ghent University

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