Stephen P. Samuel

19 total papers · 601 total citations
13 papers, 433 citations indexed

About

Stephen P. Samuel is a scholar working on Genetics, Virology and Molecular Biology. According to data from OpenAlex, Stephen P. Samuel has authored 13 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 9 papers in Virology and 4 papers in Molecular Biology. Recurrent topics in Stephen P. Samuel's work include Venomous Animal Envenomation and Studies (12 papers), Rabies epidemiology and control (9 papers) and Marine Invertebrate Physiology and Ecology (4 papers). Stephen P. Samuel is often cited by papers focused on Venomous Animal Envenomation and Studies (12 papers), Rabies epidemiology and control (9 papers) and Marine Invertebrate Physiology and Ecology (4 papers). Stephen P. Samuel collaborates with scholars based in United States, United Kingdom and India. Stephen P. Samuel's co-authors include Matthew R. Lewin, Philip E. Bickler, Janie Merkel, Tommaso C. Bulfone, José Marı́a Gutiérrez, Lyndi L. Gilliam, María Herrera, David J. Williams, Bruno Lomonte and Bryan G. Fry and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Stephen P. Samuel

11 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Stephen P. Samuel	407	268	184	143	38	13	433
Marjorie Romero	364 0.9×	229 0.9×	158 0.9×	94 0.7×	42 1.1×	8	419
Blanca Ramos‐Cerrillo	345 0.8×	166 0.6×	174 0.9×	114 0.8×	71 1.9×	9	377
Ana Silvia Arias	366 0.9×	256 1.0×	181 1.0×	95 0.7×	31 0.8×	9	394
Stephen Earl	353 0.9×	164 0.6×	181 1.0×	85 0.6×	47 1.2×	10	383
Ryan J.R. McCleary	354 0.9×	183 0.7×	187 1.0×	95 0.7×	42 1.1×	15	398
Diana Mora-Obando	424 1.0×	249 0.9×	190 1.0×	159 1.1×	35 0.9×	18	457
Lucas B. Silveira	337 0.8×	106 0.4×	208 1.1×	104 0.7×	80 2.1×	14	369
Albetiza Lôbo de Araújo	347 0.9×	155 0.6×	155 0.8×	96 0.7×	111 2.9×	13	442
Kin Ying Wong	445 1.1×	272 1.0×	190 1.0×	219 1.5×	44 1.2×	13	450
Jaffer Alsolaiss	393 1.0×	293 1.1×	169 0.9×	133 0.9×	34 0.9×	16	434

Countries citing papers authored by Stephen P. Samuel

Since Specialization

Citations

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

Fields of papers citing papers by Stephen P. Samuel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen P. Samuel

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