T L Whiteside

4.2k citations
82 papers · 3.5k indexed · h-index 34
Topics
Immune Cell Function and Interaction (40 papers)Immunotherapy and Immune Responses (28 papers)Monoclonal and Polyclonal Antibodies Research (14 papers)

In The Last Decade

T L Whiteside

81 papers receiving 3.4k citations

Peers

T L Whiteside
Comparison fields: 5 of 108
  • Immunology 2.3k
  • Oncology 1.3k
  • Molecular Biology 682
  • Hematology 337
  • Radiology, Nuclear Medicine and Imaging 271
Replace Akemi Koyanagi with:
Akemi Koyanagi Japan
K Itoh Japan
Ola Winqvist Sweden
John C. Morris United States
Geoffrey L. Stephens United States
Cristina Tecchio Italy
A. Lindemann Germany
C Schlüter Germany
T. Yoshino Japan
Youjin Lee United States
T L Whiteside relative to Akemi Koyanagi Japan Akemi Koyanagi's profile →
Citations per field
00.5×2.7×
Akemi Koyanagi · 1×
Citations per year

Countries citing papers authored by T L Whiteside

Since Specialization
Citations

This map shows the geographic impact of T L Whiteside'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 T L Whiteside with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T L Whiteside more than expected).

Fields of papers citing papers by T L Whiteside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T L Whiteside. 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 T L Whiteside. The network helps show where T L Whiteside may publish in the future.

Co-authorship network of co-authors of T L Whiteside

This figure shows the co-authorship network connecting the top 25 collaborators of T L Whiteside. A scholar is included among the top collaborators of T L Whiteside 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 T L Whiteside. T L Whiteside 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
1 228
2 21
3 26
4 19
5 117
6 1
7 60
8 60
9 47
10 117
11 7
12 31
13 81
14 15
15 46
16 8
17
Cancer therapy with tumor-infiltrating lymphocytes: evaluation of potential and limitations.
6
18 16
19 82
20
Altered activation pathways in T lymphocytes infiltrating human solid tumors.
12

About T L Whiteside

T L Whiteside is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (40 papers), Immunotherapy and Immune Responses (28 papers) and Monoclonal and Polyclonal Antibodies Research (14 papers). The work is most often cited by research in Immunology (2.3k citations), Oncology (1.3k citations) and Otorhinolaryngology (136 citations). T L Whiteside has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ronald B. Herberman, R B Herberman, Hannah Rabinowich, Si Liu, Nikola L. Vujanović, William E. Gooding, Dae Seog Heo, A Adler, S Nagashima and Jing Li. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

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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