Thomas W. Wells

816 citations
13 papers · 363 indexed · h-index 10
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)Blood groups and transfusion (3 papers)Glycosylation and Glycoproteins Research (2 papers)

In The Last Decade

Thomas W. Wells

13 papers receiving 332 citations

Peers

Thomas W. Wells
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 158
  • Immunology 106
  • Molecular Biology 101
  • Hematology 66
  • Epidemiology 60
Replace J. D. Conradie with:
J. D. Conradie South Africa
RJ Kurlander United States
J Yata Japan
G. Wood United States
E. M. Ayoub United States
Kazuhito Honjo United States
F A Hashim Sudan
J L Van Snick Belgium
A Watanabe Japan
Rosenstreich Dl United States
Thomas W. Wells relative to J. D. Conradie South Africa J. D. Conradie's profile →
Citations per field
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Countries citing papers authored by Thomas W. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Thomas W. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas W. Wells

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 19
3 22
4 24
5 43
6 24
7
Hypergammaglobulinemia associated with human immunodeficiency virus infection.
33
8 107
9 44
10
The U.S. National Reference Preparation for alpha-fetoprotein in mid-pregnancy maternal serum.
3
11 7
12 15
13 21

About Thomas W. Wells

Thomas W. Wells is a scholar working on Hematology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 363 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Blood groups and transfusion (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (158 citations), Hematology (66 citations) and Immunology (106 citations). Thomas W. Wells has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Charles B. Reimer, C M Black, C H Aloisio, Donald J. Phillips, Deborah Moore, G. Gale Galland, Robert M. Nakamura, Andreas Hensel, Robert F. Ritchie and Barbara A. Chilmonczyk. Their work appears in journals such as Journal of Clinical Microbiology, Journal of General Virology and Journal of Immunological Methods.

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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