Sam Lattimore

32 total papers · 609 total citations
24 papers, 472 citations indexed

About

Sam Lattimore is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Sam Lattimore has authored 24 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 14 papers in Hepatology and 11 papers in Infectious Diseases. Recurrent topics in Sam Lattimore's work include Hepatitis C virus research (13 papers), Hepatitis B Virus Studies (8 papers) and HIV/AIDS Research and Interventions (7 papers). Sam Lattimore is often cited by papers focused on Hepatitis C virus research (13 papers), Hepatitis B Virus Studies (8 papers) and HIV/AIDS Research and Interventions (7 papers). Sam Lattimore collaborates with scholars based in United Kingdom, United States and Germany. Sam Lattimore's co-authors include Valérie Delpech, Ruth Simmons, William L. Irving, Jonathan Elford, Alicia Thornton, Vipul Bhakta, Georgina Ireland, Samreen Ijaz, Mary Ramsay and S. M. Swift and has published in prestigious journals such as PLoS ONE, Hepatology and Journal of Hepatology.

In The Last Decade

Sam Lattimore

24 papers receiving 466 citations

Author Peers

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

Author Last Decade Papers Cites
Sam Lattimore 341 206 198 79 57 24 472
Daniel Bradshaw 199 0.6× 140 0.7× 146 0.7× 156 2.0× 36 0.6× 28 502
James L. Goddard 285 0.8× 114 0.6× 85 0.4× 74 0.9× 32 0.6× 22 529
Che‐Yen Chuang 223 0.7× 28 0.1× 223 1.1× 79 1.0× 127 2.2× 12 530
Christine Jacomet 281 0.8× 161 0.8× 209 1.1× 74 0.9× 74 1.3× 28 549
Hilde Vroling 375 1.1× 45 0.2× 113 0.6× 35 0.4× 17 0.3× 16 502
Ivanka Krznaric 243 0.7× 165 0.8× 367 1.9× 45 0.6× 76 1.3× 28 528
S Yamazaki 123 0.4× 129 0.6× 224 1.1× 57 0.7× 246 4.3× 10 505
Arício Treitinger 338 1.0× 229 1.1× 137 0.7× 17 0.2× 55 1.0× 32 533
Helena Kwakwa 290 0.9× 131 0.6× 297 1.5× 57 0.7× 16 0.3× 24 543
R J Coker 226 0.7× 64 0.3× 143 0.7× 42 0.5× 37 0.6× 17 457

Countries citing papers authored by Sam Lattimore

Since Specialization
Citations

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

Fields of papers citing papers by Sam Lattimore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Lattimore

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