Gail Van Riper

30 total papers · 1.3k total citations
22 papers, 950 citations indexed

About

Gail Van Riper is a scholar working on Immunology and Allergy, Molecular Biology and Immunology. According to data from OpenAlex, Gail Van Riper has authored 22 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology and Allergy, 13 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Gail Van Riper's work include Cell Adhesion Molecules Research (15 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Peptidase Inhibition and Analysis (5 papers). Gail Van Riper is often cited by papers focused on Cell Adhesion Molecules Research (15 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Peptidase Inhibition and Analysis (5 papers). Gail Van Riper collaborates with scholars based in United States. Gail Van Riper's co-authors include Hugh Rosen, Martin S. Springer, Salvatore Siciliano, Zenon Konteatis, Julie A. DeMartino, Paul Fischer, Richard A. Mumford, Roger Meurer, Christopher J. Molineaux and Lorraine Malkowitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Gail Van Riper

22 papers receiving 924 citations

Author Peers

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

Author						Papers	Cites
Gail Van Riper	508	422	222	194	166	22	950
Satoru Yuzawa	371 0.7×	660 1.6×	143 0.6×	93 0.5×	98 0.6×	29	1.1k
Sten Braesch‐Andersen	762 1.5×	502 1.2×	119 0.5×	172 0.9×	175 1.1×	21	1.2k
Kimberly A. Solomon	189 0.4×	358 0.8×	230 1.0×	198 1.0×	74 0.4×	20	880
A. F. Phillips	691 1.4×	598 1.4×	222 1.0×	153 0.8×	355 2.1×	14	1.2k
Dirk Wienke	235 0.5×	566 1.3×	300 1.4×	249 1.3×	71 0.4×	25	1.2k
Kurt C. Gunter	703 1.4×	493 1.2×	154 0.7×	65 0.3×	322 1.9×	22	1.2k
Aldo Borroto	606 1.2×	364 0.9×	327 1.5×	136 0.7×	121 0.7×	29	1.1k
Takashi Kagari	361 0.7×	274 0.6×	299 1.3×	125 0.6×	216 1.3×	24	873
Mei‐Kwan Yau	263 0.5×	390 0.9×	104 0.5×	79 0.4×	49 0.3×	26	1.1k
Matti Autero	610 1.2×	662 1.6×	160 0.7×	217 1.1×	132 0.8×	22	1.0k

Countries citing papers authored by Gail Van Riper

Since Specialization

Citations

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

Fields of papers citing papers by Gail Van Riper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Van Riper. 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 Gail Van Riper. The network helps show where Gail Van Riper may publish in the future.

Co-authorship network of co-authors of Gail Van Riper

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Van Riper. A scholar is included among the top collaborators of Gail Van Riper 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 Gail Van Riper. Gail Van Riper 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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