J. -P. Gerard

21 total papers · 419 total citations
8 papers, 345 citations indexed

About

J. -P. Gerard is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. -P. Gerard has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. -P. Gerard's work include Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune Cell Function and Interaction (2 papers). J. -P. Gerard is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune Cell Function and Interaction (2 papers). J. -P. Gerard collaborates with scholars based in France, United Kingdom and United States. J. -P. Gerard's co-authors include Harvey Rabin, William L. Farrar, Ralph F. Hopkins, R B Herberman, John R. Ortaldo, Anna Mason, Louis E. Henderson, Fritjof Helmchen, Marie‐Thérèse Auffredou and A Vazquez and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

J. -P. Gerard

8 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
J. -P. Gerard	252	62	52	50	27	8	345
John F. Scavulli	187 0.7×	95 1.5×	49 0.9×	30 0.6×	18 0.7×	9	368
L Lachman	239 0.9×	102 1.6×	79 1.5×	48 1.0×	56 2.1×	6	367
P. Lowrey	230 0.9×	65 1.0×	48 0.9×	66 1.3×	23 0.9×	10	340
Danielle Dutra Pereira	222 0.9×	126 2.0×	67 1.3×	37 0.7×	17 0.6×	8	374
G. Stuart Williams	252 1.0×	89 1.4×	69 1.3×	15 0.3×	13 0.5×	9	340
Shin Ebihara	321 1.3×	99 1.6×	98 1.9×	43 0.9×	25 0.9×	10	399
Grace Shih	131 0.5×	102 1.6×	51 1.0×	43 0.9×	24 0.9×	10	326
Linjian Zhu	247 1.0×	53 0.9×	16 0.3×	57 1.1×	10 0.4×	8	365
Kelli R. Ryan	225 0.9×	113 1.8×	29 0.6×	56 1.1×	11 0.4×	11	374
H Sawami	241 1.0×	84 1.4×	10 0.2×	45 0.9×	18 0.7×	10	354

Countries citing papers authored by J. -P. Gerard

Since Specialization

Citations

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

Fields of papers citing papers by J. -P. Gerard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. -P. Gerard. 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 J. -P. Gerard. The network helps show where J. -P. Gerard may publish in the future.

Co-authorship network of co-authors of J. -P. Gerard

This figure shows the co-authorship network connecting the top 25 collaborators of J. -P. Gerard. A scholar is included among the top collaborators of J. -P. Gerard 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 J. -P. Gerard. J. -P. Gerard 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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