Samuel Haile

37 total papers · 1.1k total citations
14 papers, 875 citations indexed

About

Samuel Haile is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Samuel Haile has authored 14 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Samuel Haile's work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (5 papers). Samuel Haile is often cited by papers focused on CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (5 papers). Samuel Haile collaborates with scholars based in United States, Germany and Japan. Samuel Haile's co-authors include Suzanne Ostrand‐Rosenberg, Lucas A. Horn, Crystal L. Mackall, Skyler P. Rietberg, Michelle Monje, Meena Kadapakkam, Louai Labanieh, Pamelyn J. Woo, Hannes Vogel and Christopher Mount and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and Cancer Research.

In The Last Decade

Samuel Haile

14 papers receiving 863 citations

Hit Papers

Potent antitumor efficacy... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Samuel Haile 550 365 201 184 151 14 875
Ekaterina Friebel 350 0.6× 589 1.6× 269 1.3× 227 1.2× 107 0.7× 11 967
Selena Lorrey 365 0.7× 312 0.9× 224 1.1× 155 0.8× 97 0.6× 16 699
Long Hung 247 0.4× 116 0.3× 368 1.8× 120 0.7× 55 0.4× 13 710
Brandon Ballard 844 1.5× 311 0.9× 326 1.6× 42 0.2× 226 1.5× 16 1.0k
Ali Chahlavi 257 0.5× 136 0.4× 253 1.3× 190 1.0× 72 0.5× 21 873
Nicholas G. Minutolo 499 0.9× 547 1.5× 314 1.6× 29 0.2× 206 1.4× 9 927
ZeNan Chang 404 0.7× 177 0.5× 294 1.5× 23 0.1× 160 1.1× 15 722
Liang-Chuan Wang 672 1.2× 371 1.0× 227 1.1× 17 0.1× 227 1.5× 14 862
Xingwei Sui 428 0.8× 336 0.9× 329 1.6× 200 1.1× 53 0.4× 18 932
Katharina Zimmermann 431 0.8× 400 1.1× 177 0.9× 86 0.5× 99 0.7× 16 728

Countries citing papers authored by Samuel Haile

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Haile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Haile

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