James Hair

42 total papers · 601 total citations
9 papers, 257 citations indexed

About

James Hair is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, James Hair has authored 9 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in James Hair's work include Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (3 papers). James Hair is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (3 papers). James Hair collaborates with scholars based in United Kingdom, United States and Singapore. James Hair's co-authors include Robert A. Eagle, John Trowsdale, Insiya Jafferji, James A. Traherne, Kenneth G. C. Smith, Jean Pieters, Mahavir Singh, R. Andrés Floto, Edith N. G. Houben and Paul J. Lehner and has published in prestigious journals such as Science, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

James Hair

9 papers receiving 249 citations

Author Peers

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

Author Last Decade Papers Cites
James Hair 160 77 70 62 35 9 257
Ivayla E. Gyurova 158 1.0× 70 0.9× 65 0.9× 45 0.7× 59 1.7× 10 306
Franziska Schmidt 163 1.0× 51 0.7× 108 1.5× 38 0.6× 25 0.7× 8 267
B. G. Smith 199 1.2× 33 0.4× 62 0.9× 40 0.6× 44 1.3× 13 313
Christine Estrade 91 0.6× 160 2.1× 105 1.5× 45 0.7× 28 0.8× 11 325
Elizabeth Waffarn 227 1.4× 84 1.1× 96 1.4× 34 0.5× 22 0.6× 13 328
Caroline Boulouis 251 1.6× 64 0.8× 21 0.3× 40 0.6× 28 0.8× 12 296
Lior Soday 83 0.5× 121 1.6× 104 1.5× 71 1.1× 19 0.5× 9 256
Rachel H. Gilmore 115 0.7× 80 1.0× 72 1.0× 18 0.3× 46 1.3× 6 313
Sneha Rangarajan 134 0.8× 60 0.8× 99 1.4× 38 0.6× 22 0.6× 10 310
Ildar Gabaev 88 0.6× 193 2.5× 56 0.8× 52 0.8× 49 1.4× 12 280

Countries citing papers authored by James Hair

Since Specialization
Citations

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

Fields of papers citing papers by James Hair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Hair

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