Peggy Verdood

18 total papers · 433 total citations
18 papers, 354 citations indexed

About

Peggy Verdood is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology. According to data from OpenAlex, Peggy Verdood has authored 18 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Peggy Verdood's work include Growth Hormone and Insulin-like Growth Factors (8 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Estrogen and related hormone effects (3 papers). Peggy Verdood is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (8 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Estrogen and related hormone effects (3 papers). Peggy Verdood collaborates with scholars based in Belgium, United States and Switzerland. Peggy Verdood's co-authors include Ron Kooijman, Sarah Gerlo, E. L. Hooghe‐Peters, Elisabeth L. Hooghe‐Peters, Robert Hooghe, Zeynep Doğusan, Birgit Gellersen, Jean De Schepper, Johan Schiettecatte and Brigitte Velkeniers and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Biochemical Journal.

In The Last Decade

Peggy Verdood

18 papers receiving 338 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peggy Verdood	149	90	78	75	59	18	354
Anna S. Wilhelmson	117 0.8×	117 1.3×	67 0.9×	46 0.6×	55 0.9×	19	361
P.R.M. Dobson	187 1.3×	179 2.0×	42 0.5×	75 1.0×	62 1.1×	14	398
F. Homo	79 0.5×	122 1.4×	138 1.8×	37 0.5×	80 1.4×	24	347
Noriyuki Sato	55 0.4×	141 1.6×	89 1.1×	75 1.0×	35 0.6×	26	382
Verónica Zaldivar	189 1.3×	150 1.7×	66 0.8×	46 0.6×	102 1.7×	15	367
Eef Hoeben	70 0.5×	137 1.5×	40 0.5×	40 0.5×	64 1.1×	21	391
Alyson B. Scoltock	59 0.4×	179 2.0×	100 1.3×	54 0.7×	90 1.5×	12	373
Chien-Ching Chang	60 0.4×	105 1.2×	59 0.8×	23 0.3×	144 2.4×	15	332
J‐E. Damber	120 0.8×	106 1.2×	31 0.4×	51 0.7×	28 0.5×	16	363
Ratna Biswas	92 0.6×	164 1.8×	88 1.1×	109 1.5×	99 1.7×	18	388

Countries citing papers authored by Peggy Verdood

Since Specialization

Citations

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

Fields of papers citing papers by Peggy Verdood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peggy Verdood

This figure shows the co-authorship network connecting the top 25 collaborators of Peggy Verdood. A scholar is included among the top collaborators of Peggy Verdood 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 Peggy Verdood. Peggy Verdood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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