D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Genetics D-index 61 Citations 33,324 157 World Ranking 2209 National Ranking 992

Research.com Recognitions

Awards & Achievements

2017 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is she best known for?

The fields of study Rachel Karchin is best known for:

  • Gene
  • Enzyme
  • Cancer

Her Genetics study often links to related topics such as Sequence (biology). Sequence (biology) connects with themes related to Genetics in her study. Rachel Karchin integrates Gene with Pancreas in her study. While working in this field, she studies both Pancreas and Gene. She undertakes interdisciplinary study in the fields of Cancer and Oncology through her research. In her research, Rachel Karchin undertakes multidisciplinary study on Oncology and Cancer research. Borrowing concepts from Carcinogenesis, Rachel Karchin weaves in ideas under Cancer research. She integrates Carcinogenesis and Mutation in her research. In her work, Rachel Karchin performs multidisciplinary research in Mutation and Germline mutation.

Her most cited work include:

  • Integrated genomic analyses of ovarian carcinoma (5972 citations)
  • An Integrated Genomic Analysis of Human Glioblastoma Multiforme (4949 citations)
  • Core Signaling Pathways in Human Pancreatic Cancers Revealed by Global Genomic Analyses (3364 citations)

What are the main themes of her work throughout her whole career to date

Rachel Karchin brings together Genetics and Somatic cell to produce work in her papers. She merges Gene with Biochemistry in her research. She integrates Biochemistry and Gene in her research. She performs multidisciplinary study in the fields of Computational biology and Bioinformatics via her papers. Rachel Karchin integrates many fields, such as Bioinformatics and Computational biology, in her works. In her research, she undertakes multidisciplinary study on Mutation and Missense mutation. In her works, she conducts interdisciplinary research on Cancer and Cancer research. She integrates several fields in her works, including Cancer research and Cancer. She carries out multidisciplinary research, doing studies in Internal medicine and Oncology.

Rachel Karchin most often published in these fields:

  • Genetics (82.41%)
  • Gene (78.70%)
  • Computational biology (58.33%)

What were the highlights of her more recent work (between 2020-2023)?

  • Genetics (66.67%)
  • Gene (66.67%)
  • Mutation (66.67%)

In recent works Rachel Karchin was focusing on the following fields of study:

Her study brings together the fields of Germline mutation and Genetics. She undertakes interdisciplinary study in the fields of Gene and Missense mutation through her research. In most of her Missense mutation studies, her work intersects topics such as Genetics. She incorporates Mutation and Dysplasia in her research. In her research, Rachel Karchin performs multidisciplinary study on Dysplasia and Mutation. While working in this field, she studies both Pathology and Medical genetics. Her Medical genetics study frequently draws connections to other fields, such as Gene. Rachel Karchin integrates many fields in her works, including Cancer research and Oncology. Her Oncology study frequently draws connections to other fields, such as Lung cancer.

Between 2020 and 2023, her most popular works were:

  • Durvalumab with platinum-pemetrexed for unresectable pleural mesothelioma: survival, genomic and immunologic analyses from the phase 2 PrE0505 trial (45 citations)
  • Multiregion whole-exome sequencing of intraductal papillary mucinous neoplasms reveals frequent somatic KLF4 mutations predominantly in low-grade regions (30 citations)
  • Evidence-based calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for clinical use of PP3/BP4 criteria (14 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An Integrated Genomic Analysis of Human Glioblastoma Multiforme

D. Williams Parsons;Siân Jones;Xiaosong Zhang;Jimmy Cheng-Ho Lin.
Science (2008)

6225 Citations

Integrated genomic analyses of ovarian carcinoma

D. Bell;A. Berchuck;M. Birrer;J. Chien.
Nature (2011)

5752 Citations

Core Signaling Pathways in Human Pancreatic Cancers Revealed by Global Genomic Analyses

Siân Jones;Xiaosong Zhang;D. Williams Parsons;D. Williams Parsons;Jimmy Cheng Ho Lin.
Science (2008)

4226 Citations

Comprehensive Characterization of Cancer Driver Genes and Mutations.

Matthew H Bailey;Collin Tokheim;Eduard Porta-Pardo;Sohini Sengupta.
Cell (2018)

1540 Citations

MODBASE, a database of annotated comparative protein structure models, and associated resources

Ursula Pieper;Narayanan Eswar;Ben M. Webb;David Eramian;David Eramian.
Nucleic Acids Research (2004)

977 Citations

Accumulation of driver and passenger mutations during tumor progression

Ivana Bozic;Tibor Antal;Tibor Antal;Hisashi Ohtsuki;Hannah Carter.
Proceedings of the National Academy of Sciences of the United States of America (2010)

837 Citations

The Genetic Landscape of the Childhood Cancer Medulloblastoma

D. Williams Parsons;D. Williams Parsons;Meng Li;Xiaosong Zhang;Siân Jones.
Science (2011)

764 Citations

Evolution of Neoantigen Landscape during Immune Checkpoint Blockade in Non–Small Cell Lung Cancer

Valsamo Anagnostou;Kellie N. Smith;Patrick M. Forde;Noushin Niknafs.
Cancer Discovery (2017)

621 Citations

Exome sequencing identifies frequent inactivating mutations in BAP1, ARID1A and PBRM1 in intrahepatic cholangiocarcinomas

Yuchen Jiao;Timothy M Pawlik;Robert A Anders;Florin M Selaru.
Nature Genetics (2013)

590 Citations

Whole-exome sequencing of neoplastic cysts of the pancreas reveals recurrent mutations in components of ubiquitin-dependent pathways

Jian Wu;Yuchen Jiao;Marco Dal Molin;Anirban Maitra.
Proceedings of the National Academy of Sciences of the United States of America (2011)

588 Citations

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