Tania H. Watts

12.6k citations
146 papers · 9.6k indexed · 2 hit papers · h-index 55
Topics
Immune Cell Function and Interaction (79 papers)T-cell and B-cell Immunology (79 papers)Immunotherapy and Immune Responses (61 papers)
Partner nations
CanadaUnited StatesJapan

In The Last Decade

Tania H. Watts

142 papers receiving 9.4k citations

Hit Papers

TNF/TNFR FAMILY MEMBERS IN COSTIMULATION OF T C...1986202619992012200419862505007501000

Peers

Tania H. Watts
Comparison fields: 5 of 128
  • Immunology 6.9k
  • Molecular Biology 2.2k
  • Oncology 2.2k
  • Epidemiology 851
  • Genetics 724
Replace Andrew M. Lew with:
Andrew M. Lew Australia
Eckhard R. Podack United States
Ross M. Kedl United States
Cornelis J.M. Melief Netherlands
Ferry Ossendorp Netherlands
C. Garrison Fathman United States
Colin Watts United Kingdom
Gustav Gaudernack Norway
Nilabh Shastri United States
Olaf Rötzschke Germany
Tania H. Watts relative to Andrew M. Lew Australia Andrew M. Lew's profile →
Citations per field
00.5×1.5×
Andrew M. Lew · 1×
Citations per year

Countries citing papers authored by Tania H. Watts

Since Specialization
Citations

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

Fields of papers citing papers by Tania H. Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tania H. Watts. 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 Tania H. Watts. The network helps show where Tania H. Watts may publish in the future.

Co-authorship network of co-authors of Tania H. Watts

This figure shows the co-authorship network connecting the top 25 collaborators of Tania H. Watts. A scholar is included among the top collaborators of Tania H. Watts 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 Tania H. Watts. Tania H. Watts 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 11
3 65
4 78
5
LT{beta}R signaling in Dendritic Cells induces a Type I IFN response that is required for optimal clonal expansion of CD8+ T cells
2
6 8
7 72
8 9
9 65
10 111
11 41
12 22
13 107
14 123
15 59
16 152
17 221
18 24
19 296
20 16

About Tania H. Watts

Tania H. Watts is a scholar working on Immunology, Immunology and Allergy and Virology, having authored 146 papers that have together received 9.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (79 papers), T-cell and B-cell Immunology (79 papers) and Immunotherapy and Immune Responses (61 papers). The work is most often cited by research in Immunology (6.9k citations), Oncology (2.2k citations) and Virology (245 citations). Tania H. Watts has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Harden M. McConnell, Mark DeBenedette, Edward M. Bertram, A A Brian, Tao Wen, Jennifer L. Cannons, Gloria H. Y. Lin, Ann J. McPherson, Wojciech Dawicki and Tak W. Mak. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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