Linda Tan

2.0k total citations · 1 hit paper
11 papers, 1.7k citations indexed

About

Linda Tan is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Linda Tan has authored 11 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Linda Tan's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Cytomegalovirus and herpesvirus research (4 papers). Linda Tan is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Cytomegalovirus and herpesvirus research (4 papers). Linda Tan collaborates with scholars based in United Kingdom, India and Denmark. Linda Tan's co-authors include Margaret Callan, Andrew J. McMichael, Christopher A. O’Callaghan, Neil Steven, Jamie Wilson, Alan B. Rickinson, A. B. Rickinson, N. E. Annels, Graham S. Ogg and Nicola Annels and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Linda Tan

11 papers receiving 1.6k citations

Hit Papers

Direct Visualization of Antigen-specific CD8+T Cells duri... 1998 2026 2007 2016 1998 200 400 600

Peers

Linda Tan
Comparison fields: 5 of 65
  • Immunology 1.2k
  • Oncology 648
  • Epidemiology 548
  • Virology 218
  • Molecular Biology 215
Replace Sharon L. Silins with:
Sharon L. Silins Australia
Neil Blake United Kingdom
Jerome E. Tanner Canada
Misako Yajima Japan
Norbert Kienzle Australia
Ming L. Tsang United States
Jamie Wilson United Kingdom
Sandra Colombini United States
I S Misko Australia
C J Melief Netherlands
Sharon L. Silins Australia View profile →
Citations per field, relative to Linda Tan
Linda Tan · 1×
Citations per year, relative to Linda Tan
Linda Tan · 1×

Countries citing papers authored by Linda Tan

Since Specialization
Citations

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

Fields of papers citing papers by Linda Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda Tan. 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 Linda Tan. The network helps show where Linda Tan may publish in the future.

Co-authorship network of co-authors of Linda Tan

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 7
2 140
3 93
4 64
5 57
6 435
7
Direct Visualization of Antigen-specific CD8+T Cells during the Primary Immune Response to Epstein-Barr Virus In Vivo breakdown →
737
8 63
9 2
10 16
11 67

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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