P. Lehmann

20 total papers · 1.1k total citations
13 papers, 873 citations indexed

About

P. Lehmann is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, P. Lehmann has authored 13 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in P. Lehmann's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Diabetes and associated disorders (4 papers). P. Lehmann is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Diabetes and associated disorders (4 papers). P. Lehmann collaborates with scholars based in United States, Germany and Taiwan. P. Lehmann's co-authors include Jide Tian, Daniel L. Kaufman, Michael Clare‐Salzler, Thomas G. Forsthuber, Mark A. Atkinson, H. Mario Geysen, Magdalena Tary‐Lehmann, Eli E. Sercarz, E. Hägele and Elli Rauscher and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Clinical Chemistry.

In The Last Decade

P. Lehmann

11 papers receiving 854 citations

Author Peers

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

Author						Papers	Cites
P. Lehmann	427	357	219	171	163	13	873
Isabelle Bergerot	457 1.1×	464 1.3×	273 1.2×	221 1.3×	156 1.0×	14	866
M Skośkiewicz	264 0.6×	192 0.5×	182 0.8×	52 0.3×	210 1.3×	16	725
Huilian Qin	433 1.0×	342 1.0×	176 0.8×	125 0.7×	101 0.6×	13	700
Bryan Coon	566 1.3×	453 1.3×	217 1.0×	166 1.0×	93 0.6×	15	900
Dieter Rondas	108 0.3×	206 0.6×	299 1.4×	144 0.8×	314 1.9×	18	733
Michelle R. Frazier-Jessen	249 0.6×	185 0.5×	67 0.3×	58 0.3×	289 1.8×	17	754
Trentham De	554 1.3×	146 0.4×	82 0.4×	35 0.2×	140 0.9×	11	1.0k
Jon Kuniyoshi	486 1.1×	126 0.4×	139 0.6×	247 1.4×	336 2.1×	11	922
Abdoreza Davoodi‐Semiromi	287 0.7×	197 0.6×	58 0.3×	194 1.1×	297 1.8×	21	809
Dan Zekzer	548 1.3×	393 1.1×	221 1.0×	140 0.8×	79 0.5×	11	827

Countries citing papers authored by P. Lehmann

Since Specialization

Citations

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

Fields of papers citing papers by P. Lehmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Lehmann

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