Troy Krahl

3.6k citations
32 papers · 2.9k indexed · h-index 27

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Genetics top 1%
    • Diabetes and associated disorders
    • Virus-based gene therapy research

Papers in

    • Diabetes and associated disorders 20
    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 4

Troy Krahl

32 papers receiving 2.9k citations

Peers

Troy Krahl
Comparison fields: 5 of 89
  • Immunology 1.3k
  • Genetics 1.4k
  • Endocrinology, Diabetes and Metabolism 448
  • Surgery 1.0k
  • Oncology 409
Replace Janette Allison with:
Janette Allison Australia
Terry L. Delovitch Canada
Claude Carnaud France
Maki Nakayama United States
Jun Yamanouchi Japan
Rima Darwiche Australia
T L Delovitch Canada
Lesley Rhee United States
Pablo A. Silveira Australia
Joan Verdaguer Spain
Troy Krahl relative to Janette Allison Australia Janette Allison's profile →
Citations per field
00.5×1.5×
Janette Allison · 1×
Citations per year

Countries citing papers authored by Troy Krahl

Since Specialization
Citations

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

Fields of papers citing papers by Troy Krahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Troy Krahl, 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 Troy Krahl Line = papers co-authored together Troy Krahl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200750
2 200513
3 200427
4 20019
5 200138
6 200050
7 199970
8 19992
9 199948
10 199963
11 1999101
12 1998498
13 199890
14 1998152
15 199791
16 199798
17 199730
18 1997205
19 199618
20 1996259

About Troy Krahl

Troy Krahl is a scholar working on Genetics, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (20 papers), Pancreatic function and diabetes (16 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers), Diabetes Management and Research (3 papers), Signaling Pathways in Disease (2 papers), Diet, Metabolism, and Disease (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (1.3k citations), Genetics (1.4k citations), Endocrinology, Diabetes and Metabolism (448 citations), Surgery (1.0k citations) and Oncology (409 citations). Troy Krahl has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Nora Sarvetnick, Regula Mueller, Linda M. Bradley, Jae Lee, Judith Harbertson, Marc S. Horwitz, Danling Gu, Myung‐Shik Lee, Inder M. Verma and Tal Kafri. Their work appears in journals such as The Journal of Immunology, Journal of Endocrinology, Immunity, The Journal of Experimental Medicine and Clinical 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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