Philip W. Tucker

12.5k citations
163 papers · 10.1k indexed · 1 hit paper · h-index 58
Topics
T-cell and B-cell Immunology (55 papers)Monoclonal and Polyclonal Antibodies Research (48 papers)Immune Cell Function and Interaction (36 papers)

In The Last Decade

Philip W. Tucker

162 papers receiving 9.8k citations

Hit Papers

Limited diversity of γδ antigen receptor genes of thy-1+ ...19882026200020131988100200300400

Peers

Philip W. Tucker
Comparison fields: 5 of 147
  • Molecular Biology 5.9k
  • Immunology 3.6k
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Genetics 1.1k
  • Genetics 996
Replace David G. Schatz with:
David G. Schatz United States
J.G. Seidman United States
Christine A. Kozak United States
Alexander Tarakhovsky United States
Yoichi Shinkai Japan
Dimitris Kioussis United Kingdom
Yuji Yamanashi Japan
Terence H. Rabbitts United Kingdom
N.A. Jenkins United States
Thomas B. Shows United States
Philip W. Tucker relative to David G. Schatz United States David G. Schatz's profile →
Citations per field
00.5×1.5×1.8×
David G. Schatz · 1×
Citations per year

Countries citing papers authored by Philip W. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Philip W. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip W. Tucker. 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 Philip W. Tucker. The network helps show where Philip W. Tucker may publish in the future.

Co-authorship network of co-authors of Philip W. Tucker

This figure shows the co-authorship network connecting the top 25 collaborators of Philip W. Tucker. A scholar is included among the top collaborators of Philip W. Tucker 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 Philip W. Tucker. Philip W. Tucker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 90
2 138
3 89
4 225
5 24
6 102
7 21
8 133
9 156
10 19
11 29
12 7
13 55
14 16
15 2
16 59
17 7
18 3
19 5
20 20

About Philip W. Tucker

Philip W. Tucker is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 163 papers that have together received 10.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (55 papers), Monoclonal and Polyclonal Antibodies Research (48 papers) and Immune Cell Function and Interaction (36 papers). The work is most often cited by research in Immunology (3.6k citations), Genetics (996 citations) and Molecular Biology (5.9k citations). Philip W. Tucker has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Frederick R. Blattner, William A. Kuziel, J. Donald Capra, Gregory C. Ippolito, Nicholas F. Landolfi, J. Frederic Mushinski, Robert E. Tigelaar, James P. Allison, Anna L. Shen and Thomas M. Jessell. Their work appears in journals such as Nature, Science and Cell.

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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