C. E. Farver

14.2k citations
6 papers · 10.1k · 4 hit papers · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Oncology top 0.5%
    • Cancer Immunotherapy and Biomarkers

Papers in

C. E. Farver

6 papers receiving 10.0k citations

C. E. Farver's Hit Papers

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images 2018 · 761 citations
7610+4+8Years since publication10002.0k3.0k4.0k

Peers

C. E. Farver
Comparison fields: 5 of 121
  • Cancer Research 2.6k
  • Oncology 3.4k
  • Pulmonary and Respiratory Medicine 3.2k
  • Immunology 1.5k
  • Molecular Biology 3.9k
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Citations per field
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Citations per year

Countries citing papers authored by C. E. Farver

Since Specialization
Citations

This map shows the geographic impact of C. E. Farver's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. E. Farver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. E. Farver more than expected).

Fields of papers citing papers by C. E. Farver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. E. Farver. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. E. Farver. The network helps show where C. E. Farver may publish in the future.

Co-authors

The 2 scholars most cited alongside C. E. Farver, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. E. Farver Line = papers co-authored together C. E. Farver links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Comprehensive molecular profiling of lung adenocarcinoma
Hit paper breakdown →
20144550
2
The Immune Landscape of Cancer
Hit paper breakdown →
20184331
3
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
Hit paper breakdown →
2018761
4
Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas
Hit paper breakdown →
2018423
5
Comprehensive molecular profiling of lung adenocarcinoma
201438
6 200020

About C. E. Farver

C. E. Farver is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Gastroenterology, Biophysics and Oncology, having authored 6 papers that have together received 10.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers), Urologic and reproductive health conditions (1 paper), Fungal Infections and Studies (1 paper), Gastric Cancer Management and Outcomes (1 paper), RNA modifications and cancer (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cancer Research (2.6k citations), Oncology (3.4k citations), Pulmonary and Respiratory Medicine (3.2k citations), Immunology (1.5k citations) and Molecular Biology (3.9k citations). C. E. Farver has collaborated with scholars based in United States and Canada. Frequent co-authors include S D Mawhorter and Elroy D. Kursh. Their work appears in journals such as Cancer Cell, Cell Reports, Nature, Immunity and Clinical Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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