Jacques Ropers

53 papers receiving 1.9k citations

Peers

Jacques Ropers
Comparison fields: 5 of 63
  • Applied Microbiology and Biotechnology 42
  • Endocrinology, Diabetes and Metabolism 328
  • Genetics 367
  • Genetics 82
  • Epidemiology 244
Replace Laurent E. Weekers with:
Laurent E. Weekers Belgium
Francesca Bagnasco Italy
Tim Ulinski France
Jon C. White United States
Jessica Smith United Kingdom
Kristen R. Campbell United States
Ralph Epaud France
Anne Putto‐Laurila Finland
Stéphane Zuily France
Beverly G. Mellen United States
Jacques Ropers relative to Laurent E. Weekers Belgium Laurent E. Weekers's profile →
Citations per field
00.5×10×20×33.4×
Laurent E. Weekers · 1×
Citations per year

Countries citing papers authored by Jacques Ropers

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Ropers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques Ropers. 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 Jacques Ropers. The network helps show where Jacques Ropers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998317
2 1998205
3 2015167
4 2016167
5 2021110
6 202199
7 202292
8 199672
9 202363
10 199661
11 201957
12 202049
13 201647
14 201946
15 199945
16 201531
17 201729
18 199626
19 201624
20 202420

About Jacques Ropers

Jacques Ropers is a scholar working on Infectious Diseases, Genetics, Neurology, Epidemiology and Genetics, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Pneumonia and Respiratory Infections (4 papers), Orthopedic Infections and Treatments (2 papers), Myasthenia Gravis and Thymoma (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (42 citations), Endocrinology, Diabetes and Metabolism (328 citations), Genetics (367 citations), Genetics (82 citations) and Epidemiology (244 citations). Jacques Ropers has collaborated with scholars based in France, United States and Chile. Frequent co-authors include Martin Jean Schlumberger, Éric Baudin, J. Lumbroso, Gabriella Bruno-Bossio, C Parmentier, Jean‐Paul Travagli, Anne Cailleux, Francesco Mancusi, Bernard Caillou and Michel Pierre Ducreux. Their work appears in journals such as JAMA Network Open, Genetics in Medicine, The Journal of Clinical Endocrinology & Metabolism, The Lancet and Nature Medicine.

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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