Renaud Desgraz

1.4k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Renaud Desgraz is a scholar working on Surgery, Hematology and Genetics. According to data from OpenAlex, Renaud Desgraz has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Hematology and 3 papers in Genetics. Recurrent topics in Renaud Desgraz's work include Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Renaud Desgraz is often cited by papers focused on Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Renaud Desgraz collaborates with scholars based in Switzerland, United Kingdom and Germany. Renaud Desgraz's co-authors include Pedro L. Herrera, Fabrizio Thorel, Isabelle Avril, Kenji Kohno, Virginie Népote, Simona Chera, Claire Bonal, Michel Delforge, Francesca Gay and María‐Victoria Mateos and has published in prestigious journals such as Nature, Blood and Development.

In The Last Decade

Renaud Desgraz

6 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Conversion of adult pancreatic α-cells to β-cells after extreme β-cell loss

2010 866 citations Fabrizio Thorel, Virginie Népote et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Renaud Desgraz Switzerland	4	937	636	517	387	51	7	1.1k
Yelena Guz United States	13	1.1k 1.2×	694 1.1×	623 1.2×	474 1.2×	44 0.9×	15	1.3k
Beate Ritz-Laser Switzerland	15	699 0.7×	448 0.7×	334 0.6×	417 1.1×	30 0.6×	17	884
Claire Bonal Switzerland	9	552 0.6×	333 0.5×	238 0.5×	314 0.8×	23 0.5×	11	684
G T Schuppin United States	7	739 0.8×	400 0.6×	393 0.8×	306 0.8×	30 0.6×	7	820
Noémie Druelle France	9	468 0.5×	333 0.5×	288 0.6×	156 0.4×	37 0.7×	14	560
Noa Weinberg-Corem Israel	10	405 0.4×	276 0.4×	188 0.4×	343 0.9×	23 0.5×	10	673
Toshiaki Tsujimura Japan	14	581 0.6×	226 0.4×	264 0.5×	126 0.3×	176 3.5×	22	701
Jenny Barthson Belgium	5	467 0.5×	395 0.6×	198 0.4×	226 0.6×	27 0.5×	6	705
Gopalakrishnan Loganathan United States	15	490 0.5×	195 0.3×	264 0.5×	96 0.2×	89 1.7×	27	566
Katharina Rickenbach Switzerland	7	369 0.4×	184 0.3×	145 0.3×	198 0.5×	21 0.4×	7	471

Countries citing papers authored by Renaud Desgraz

Since Specialization

Citations

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

Fields of papers citing papers by Renaud Desgraz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Desgraz

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Desgraz. A scholar is included among the top collaborators of Renaud Desgraz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renaud Desgraz. Renaud Desgraz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Mellqvist, Ulf‐Henrik, T. Steinmetz, Aurore Perrot, et al.. (2023). Patient Confidence and Information Preferences During the Treatment Decision-making Process: Results From a Large Multiple Myeloma Patient Survey Across 12 Countries in Europe and Israel. Clinical Lymphoma Myeloma & Leukemia. 23(5). e240–e251.e12. 3 indexed citations

2.

Weisel, Katja, María‐Victoria Mateos, Francesca Gay, et al.. (2020). Efficacy and safety profile of deep responders to carfilzomib-based therapy: a subgroup analysis from ASPIRE and ENDEAVOR. Leukemia. 35(6). 1732–1744. 5 indexed citations

3.

Desgraz, Renaud, et al.. (2020). Patient's Preference for Making Informed Treatment Decisions Confidently: Results from a Large Multiple Myeloma Patient Survey across 12 Countries in Europe and Israel. Blood. 136(Supplement 1). 23–23.

4.

Weisel, Katja, María‐Victoria Mateos, Michel Delforge, et al.. (2018). Association between Patient Profile and Outcomes of Best Responders to Carfilzomib: A Post-Hoc Sub-Group Analysis of Aspire and Endeavor. Blood. 132(Supplement 1). 3299–3299. 1 indexed citations

5.

Thorel, Fabrizio, Virginie Népote, Isabelle Avril, et al.. (2010). Conversion of adult pancreatic α-cells to β-cells after extreme β-cell loss. Nature. 464(7292). 1149–1154. 866 indexed citations breakdown →

6.

Desgraz, Renaud, Claire Bonal, & Pedro L. Herrera. (2010). β-Cell regeneration: the pancreatic intrinsic faculty. Trends in Endocrinology and Metabolism. 22(1). 34–43. 69 indexed citations

7.

Desgraz, Renaud & Pedro L. Herrera. (2009). Pancreatic neurogenin 3-expressing cells are unipotent islet precursors. Development. 136(21). 3567–3574. 130 indexed citations

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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