Pierre P. Roger

5.8k citations
104 papers · 4.8k · h-index 38

Impact in

Papers in

Pierre P. Roger

101 papers receiving 4.4k citations

Peers

Pierre P. Roger
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Oncology 1.3k
  • Molecular Biology 2.7k
  • Cancer Research 470
  • Cell Biology 487
Replace Román Herrera with:
Román Herrera United States
A. Raymond Frackelton United States
Andrea Morrione United States
Arthur Sands United States
Martin L. Privalsky United States
Roland Stein United States
Barbara K. Vonderhaar United States
Amilcar Flores‐Morales Sweden
Jeffrey E. Kudlow United States
Patrice Denèfle France
Pierre P. Roger relative to Román Herrera United States Román Herrera's profile →
Citations per field
00.5×1.5×2.4×
Román Herrera · 1×
Citations per year

Countries citing papers authored by Pierre P. Roger

Since Specialization
Citations

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

Fields of papers citing papers by Pierre P. Roger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre P. Roger. 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 Pierre P. Roger. The network helps show where Pierre P. Roger may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992447
2 1989402
3 2001384
4 1984171
5 1983127
6 1993114
7 1985107
8 198299
9 198295
10 201392
11 201086
12 198785
13 199776
14 199169
15 199068
16 200065
17 200965
18 200963
19 201762
20 199861

About Pierre P. Roger

Pierre P. Roger is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Cell Biology and Genetics, having authored 104 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (36 papers), Thyroid Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Microtubule and mitosis dynamics (13 papers), Ubiquitin and proteasome pathways (13 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Animal Genetics and Reproduction (10 papers) and Thyroid Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Oncology (1.3k citations), Molecular Biology (2.7k citations), Cancer Research (470 citations) and Cell Biology (487 citations). Pierre P. Roger has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Jacques E. Dumont, Françoise Lamy, J.E. Dumont, Sabine Paternot, J C Jauniaux, Katia Coulonval, Alexandra Van Keymeulen, Patricia Servais, J.E. Dumont and Laurence Bockstaele. Their work appears in journals such as Molecular and Cellular Endocrinology, Experimental Cell Research, Cell Cycle, Biochemical and Biophysical Research Communications and Molecular and Cellular Biology.

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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