Toby Starr

564 citations
13 papers · 432 · h-index 9

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Toby Starr

13 papers receiving 421 citations

Peers

Toby Starr
Comparison fields: 5 of 56
  • Immunology and Allergy 71
  • Immunology 223
  • Virology 45
  • Cell Biology 82
  • Biophysics 27
Replace Emilio Tejera with:
Emilio Tejera Spain
Wing-Yiu Jason Lee United Kingdom
Nadia Anikeeva United States
Miroslav Hons Switzerland
Catarina Sacristán United States
Sarah Fritchley United Kingdom
Lindsay J. Edwards United States
Iivari Kleino Finland
Sophie V. Pageon Australia
Lan Tian United States
Toby Starr relative to Emilio Tejera Spain Emilio Tejera's profile →
Citations per field
00.5×2.6×
Emilio Tejera · 1×
Citations per year

Countries citing papers authored by Toby Starr

Since Specialization
Citations

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

Fields of papers citing papers by Toby Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Toby Starr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toby Starr Line = papers co-authored together Toby Starr links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2008139
2 200764
3 200855
4 200851
5 200629
6 198327
7 200721
8 197621
9 19739
10
Separation of heparin into subfractions by DEAE-cellulose chromatography.
19806
11 19795
12 20113
13 19742

About Toby Starr

Toby Starr is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Surgery and Oncology, having authored 13 papers that have together received 432 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Immune Cell Function and Interaction (3 papers), Cell Adhesion Molecules Research (2 papers), Immunotherapy and Immune Responses (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology and Allergy (71 citations), Immunology (223 citations), Virology (45 citations), Cell Biology (82 citations) and Biophysics (27 citations). Toby Starr has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Michael L. Dustin, Jay T. Groves, Kaspar Mossman, Menard M. Gertler, V. Kaye Thomas, Rajat Varma, Robert H. Yue, Oren Milstein, Su-Yi Tseng and P. Anton van der Merwe. Their work appears in journals such as Thrombosis and Haemostasis, Journal of Biological Chemistry, Current Protocols in Immunology, Journal of the American Chemical Society and Biophysical Journal.

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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