Christopher C. Coss

2.3k citations
66 papers · 1.5k · h-index 20

Impact in

Papers in

Christopher C. Coss

59 papers receiving 1.5k citations

Peers

Christopher C. Coss
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 423
  • Molecular Biology 782
  • Cancer Research 163
  • Genetics 289
  • Cell Biology 168
Replace Fouad K. Habib with:
Fouad K. Habib United Kingdom
Konstantinos Alevizopoulos Greece
Mark Glover United Kingdom
Chihuei Wang Taiwan
Min‐Wei Chen China
Maria Letizia Motti Italy
Elzbieta Kawinski United States
Peter Nissley United States
Yong-Nyun Kim South Korea
Bunzo Sato Japan
Christopher C. Coss relative to Fouad K. Habib United Kingdom Fouad K. Habib's profile →
Citations per field
00.5×6.4×
Fouad K. Habib · 1×
Citations per year

Countries citing papers authored by Christopher C. Coss

Since Specialization
Citations

This map shows the geographic impact of Christopher C. Coss'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 Christopher C. Coss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher C. Coss more than expected).

Fields of papers citing papers by Christopher C. Coss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Coss. 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 Christopher C. Coss. The network helps show where Christopher C. Coss may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher C. Coss, 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 Christopher C. Coss Line = papers co-authored together Christopher C. Coss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016243
2 2017169
3 2009163
4 2005144
5 201770
6 200864
7 201946
8 201643
9 201631
10 201831
11 202230
12 201929
13 201829
14 202027
15 201026
16 201426
17 202120
18 201120
19 201320
20 201220

About Christopher C. Coss

Christopher C. Coss is a scholar working on Molecular Biology, Genetics, Oncology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Hormonal and reproductive studies (15 papers), Prostate Cancer Treatment and Research (14 papers), Sexual Differentiation and Disorders (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (423 citations), Molecular Biology (782 citations), Cancer Research (163 citations), Genetics (289 citations) and Cell Biology (168 citations). Christopher C. Coss has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include James T. Dalton, Ramesh Narayanan, Mitch A. Phelps, Duane D. Miller, Amanda Jones, Jeffrey D. Kearbey, Yali He, Michael L. Mohler, Agnieszka Martyna and Ziqing Qian. Their work appears in journals such as Cancer Research, Journal of Medicinal Chemistry, Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

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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