Philip Slavin

90 total papers · 1.0k total citations
36 papers, 386 citations indexed

About

Philip Slavin is a scholar working on Genetics, Classics and Economics and Econometrics. According to data from OpenAlex, Philip Slavin has authored 36 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 10 papers in Classics and 10 papers in Economics and Econometrics. Recurrent topics in Philip Slavin's work include Yersinia bacterium, plague, ectoparasites research (12 papers), Historical Economic and Social Studies (10 papers) and Medieval Literature and History (7 papers). Philip Slavin is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (12 papers), Historical Economic and Social Studies (10 papers) and Medieval Literature and History (7 papers). Philip Slavin collaborates with scholars based in United Kingdom, United States and Germany. Philip Slavin's co-authors include Sharon N. DeWitte, Wolfgang Haak, Arthur Kocher, Guido Alberto Gnecchi‐Ruscone, Johannes Krause, Kirsten I. Bos, Valeri Khartanovich, Denise Kühnert, Leyla Djansugurova and Lyazzat Musralina and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Philip Slavin

32 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
Philip Slavin	140	68	62	62	61	36	386
Jean-Noël Biraben	120 0.9×	47 0.7×	47 0.8×	67 1.1×	23 0.4×	56	405
Robert Sallares	103 0.7×	104 1.5×	65 1.0×	18 0.3×	13 0.2×	12	349
Robert S. Gottfried	78 0.6×	18 0.3×	33 0.5×	115 1.9×	24 0.4×	24	444
Ann F. Ramenofsky	64 0.5×	81 1.2×	22 0.4×	10 0.2×	20 0.3×	19	397
Michael W. Dols	109 0.8×	65 1.0×	33 0.5×	20 0.3×	10 0.2×	20	411
Colin Grier	89 0.6×	72 1.1×	4 0.1×	9 0.1×	29 0.5×	27	442
Ingrid Wiechmann	267 1.9×	139 2.0×	99 1.6×	8 0.1×	20 0.3×	15	430
Philip G. Ziegler	69 0.5×	13 0.2×	36 0.6×	49 0.8×	15 0.2×	33	386
Rafael Carrasco	54 0.4×	45 0.7×	40 0.6×	13 0.2×	4 0.1×	37	446
Ricci P. H. Yue	97 0.7×	9 0.1×	49 0.8×	28 0.5×	164 2.7×	22	397

Countries citing papers authored by Philip Slavin

Since Specialization

Citations

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

Fields of papers citing papers by Philip Slavin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Slavin

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