TF Tedder

1.0k citations
11 papers · 890 · h-index 9

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Immune Response and Inflammation 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Atherosclerosis and Cardiovascular Diseases 1
    • Cell Adhesion Molecules Research 8

TF Tedder

11 papers receiving 870 citations

Peers

TF Tedder
Comparison fields: 5 of 62
  • Immunology and Allergy 396
  • Immunology 500
  • Hematology 122
  • Cancer Research 84
  • Oncology 133
Replace Margit C. Szabo with:
Margit C. Szabo United States
KL Moore United States
H Yagita Japan
Sophie Lebel‐Binay France
E. van de Wiel-van Kemenade Netherlands
Ulf Korthäuer Germany
Tamás Schweighoffer Austria
S K Kraeft United States
Juha Hakulinen Finland
B L Nuccie United States
TF Tedder relative to Margit C. Szabo United States Margit C. Szabo's profile →
Citations per field
00.5×2.6×
Margit C. Szabo · 1×
Citations per year

Countries citing papers authored by TF Tedder

Since Specialization
Citations

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

Fields of papers citing papers by TF Tedder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside TF Tedder, 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 TF Tedder Line = papers co-authored together TF Tedder links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1996213
2 1995182
3 1993125
4 1994106
5 199474
6 199672
7 199441
8 199436
9 199531
10 19938
11 19942

About TF Tedder

TF Tedder is a scholar working on Immunology, Immunology and Allergy, Molecular Biology, Oncology and Cancer Research, having authored 11 papers that have together received 890 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Immune Response and Inflammation (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Protease and Inhibitor Mechanisms (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology and Allergy (396 citations), Immunology (500 citations), Hematology (122 citations), Cancer Research (84 citations) and Oncology (133 citations). TF Tedder has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Klaus Ley, Cummings Rd, KL Moore, Zoltán Lászik, Pablo Engel, BC Furie, John H. Kehrl, Joseph M. Tuscano, K.B. Saunders and Andreas Zakrzewicz. Their work appears in journals such as Blood and The Journal of Cell Biology.

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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