William W. Reiley

3.0k citations
27 papers · 2.1k indexed · h-index 17
Topics
Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (10 papers)NF-κB Signaling Pathways (7 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

William W. Reiley

26 papers receiving 2.1k citations

Peers

William W. Reiley
Comparison fields: 5 of 85
  • Immunology 1.2k
  • Molecular Biology 872
  • Cancer Research 652
  • Epidemiology 481
  • Oncology 468
Replace Prafullakumar Tailor with:
Prafullakumar Tailor United States
Takeo Nakaya Japan
Z. Joel Australia
Jonathan Maelfait Belgium
Vera Chan Hong Kong
Brad R. Rosenberg United States
Robin Kageyama United States
Mercedes B. Fuertes Argentina
Seiji Maruo Japan
Mark S. Diamond United States
William W. Reiley relative to Prafullakumar Tailor United States Prafullakumar Tailor's profile →
Citations per field
00.5×2.8×
Prafullakumar Tailor · 1×
Citations per year

Countries citing papers authored by William W. Reiley

Since Specialization
Citations

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

Fields of papers citing papers by William W. Reiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William W. Reiley

This figure shows the co-authorship network connecting the top 25 collaborators of William W. Reiley. A scholar is included among the top collaborators of William W. Reiley 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 William W. Reiley. William W. Reiley 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 0
2 3
3 14
4 13
5 28
6 4
7 13
8 5
9 114
10 95
11 78
12 92
13 155
14 177
15 4
16 185
17 89
18 154
19 124
20 115

About William W. Reiley

William W. Reiley is a scholar working on Immunology, Cancer Research and Oncology, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (10 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (652 citations) and Infectious Diseases (464 citations). William W. Reiley has collaborated with scholars based in United States, China and France. Frequent co-authors include Minying Zhang, Shao‐Cong Sun, Wei Jin, David L. Woodland, Gary M. Winslow, Andrea M. Cooper, Xuefeng Wu, Christopher C. Norbury, Susan Wittmer and Shao-Cong Sun. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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