G Haynes

8 total papers · 973 total citations
8 papers, 795 citations indexed

About

G Haynes is a scholar working on Immunology, Pediatrics, Perinatology and Child Health and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, G Haynes has authored 8 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in G Haynes's work include Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and Retrovirus Studies (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). G Haynes is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and Retrovirus Studies (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). G Haynes collaborates with scholars based in United States, United Kingdom and Mexico. G Haynes's co-authors include Ross M. Hays, J Neff, J. Russell Geyer, Chris Feudtner, Thomas D. Koepsell, Jeanette Valentine, Shervin S. Churchill, J. Geyer, James W. Varni and David J. Waters and has published in prestigious journals such as Blood, PEDIATRICS and American Journal of Epidemiology.

In The Last Decade

G Haynes

8 papers receiving 772 citations

Author Peers

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

Author Last Decade Papers Cites
G Haynes 335 273 160 113 108 8 795
C. S. Peckham 225 0.7× 53 0.2× 480 3.0× 35 0.3× 62 0.6× 30 886
I. S. Symington 44 0.1× 248 0.9× 356 2.2× 66 0.6× 44 0.4× 20 916
Margaret M. Gallaher 43 0.1× 176 0.6× 130 0.8× 62 0.5× 14 0.1× 10 905
Laura G. Greer 282 0.8× 181 0.7× 246 1.5× 49 0.4× 69 0.6× 17 1.1k
Pa Tamba N’Gom 101 0.3× 59 0.2× 168 1.1× 50 0.4× 249 2.3× 22 834
D M Fleming 42 0.1× 80 0.3× 365 2.3× 53 0.5× 21 0.2× 29 768
M. S. Lye 110 0.3× 88 0.3× 258 1.6× 70 0.6× 52 0.5× 19 959
Yvonne D. Senturia 95 0.3× 259 0.9× 117 0.7× 54 0.5× 66 0.6× 24 926
Robert J. Nystrom 74 0.2× 209 0.8× 293 1.8× 31 0.3× 17 0.2× 15 938
Betsy Schick 178 0.5× 278 1.0× 256 1.6× 18 0.2× 49 0.5× 10 720

Countries citing papers authored by G Haynes

Since Specialization
Citations

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

Fields of papers citing papers by G Haynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Haynes

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