G. Marcolin

46 total papers · 511 total citations
26 papers, 353 citations indexed

About

G. Marcolin is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Psychiatry and Mental health. According to data from OpenAlex, G. Marcolin has authored 26 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 10 papers in Public Health, Environmental and Occupational Health and 7 papers in Psychiatry and Mental health. Recurrent topics in G. Marcolin's work include Ovarian function and disorders (12 papers), Reproductive Biology and Fertility (9 papers) and Sexual function and dysfunction studies (7 papers). G. Marcolin is often cited by papers focused on Ovarian function and disorders (12 papers), Reproductive Biology and Fertility (9 papers) and Sexual function and dysfunction studies (7 papers). G. Marcolin collaborates with scholars based in France and Germany. G. Marcolin's co-authors include Irène Buvat, M Buvat-Herbaut, Antoine Lemaire, André Racadot, Pierre Fossati, R. Beuscart, Didier Dewailly, P Fossati, J Buvat and A Racadot and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Urology and Clinical Chemistry.

In The Last Decade

G. Marcolin

21 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
G. Marcolin	240	173	76	71	57	26	353
H. P. Zahradnik	92 0.4×	90 0.5×	79 1.0×	113 1.6×	34 0.6×	30	388
Nader Salama	105 0.4×	85 0.5×	58 0.8×	87 1.2×	41 0.7×	28	299
M. Azizi	236 1.0×	157 0.9×	26 0.3×	28 0.4×	38 0.7×	36	360
Costantino Abbate	240 1.0×	118 0.7×	76 1.0×	80 1.1×	10 0.2×	25	370
Xujun Yu	116 0.5×	68 0.4×	58 0.8×	82 1.2×	30 0.5×	51	335
Chia‐Ning Kao	326 1.4×	226 1.3×	40 0.5×	13 0.2×	15 0.3×	22	401
Kevin Ostrowski	159 0.7×	84 0.5×	31 0.4×	102 1.4×	8 0.1×	30	338
Qiyun Yang	157 0.7×	119 0.7×	62 0.8×	110 1.5×	9 0.2×	22	373
L. De Lauretis	188 0.8×	108 0.6×	49 0.6×	22 0.3×	12 0.2×	19	297
Victor Barbosa Ribeiro	211 0.9×	138 0.8×	71 0.9×	31 0.4×	8 0.1×	35	323

Countries citing papers authored by G. Marcolin

Since Specialization

Citations

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

Fields of papers citing papers by G. Marcolin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Marcolin

This figure shows the co-authorship network connecting the top 25 collaborators of G. Marcolin. A scholar is included among the top collaborators of G. Marcolin 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 G. Marcolin. G. Marcolin 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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