Todd Bartkowiak

1.5k citations
22 papers · 1.2k · h-index 13

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • interferon and immune responses
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 5
    • Immune cells in cancer 5
    • T-cell and B-cell Immunology 3
    • Cancer Immunotherapy and Biomarkers 7
    • CAR-T cell therapy research 2

Todd Bartkowiak

22 papers receiving 1.2k citations

Peers

Todd Bartkowiak
Comparison fields: 5 of 73
  • Immunology 660
  • Oncology 584
  • Cancer Research 188
  • Biotechnology 37
  • Pulmonary and Respiratory Medicine 117
Replace Danielle M. Lussier with:
Danielle M. Lussier United States
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Kerstin Wennhold Germany
Casey R. Ager United States
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Citations per field
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Citations per year

Countries citing papers authored by Todd Bartkowiak

Since Specialization
Citations

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

Fields of papers citing papers by Todd Bartkowiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018322
2 2015215
3 2017156
4 202199
5 201885
6 201580
7 202051
8 201346
9 201024
10 201524
11 201617
12 202215
13 201013
14 201611
15 202011
16 20198
17 20237
18 20113
19 20153
20 20223

About Todd Bartkowiak

Todd Bartkowiak is a scholar working on Immunology, Oncology, Neurology, Rheumatology and Genetics, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers), Immune cells in cancer (5 papers), T-cell and B-cell Immunology (3 papers), Single-cell and spatial transcriptomics (3 papers), CAR-T cell therapy research (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (660 citations), Oncology (584 citations), Cancer Research (188 citations), Biotechnology (37 citations) and Pulmonary and Respiratory Medicine (117 citations). Todd Bartkowiak has collaborated with scholars based in United States, France and China. Frequent co-authors include Michael A. Curran, Casey R. Ager, Ashvin R. Jaiswal, Courtney Nicholas, Midan Ai, Matthew J. Reilley, Pratha Budhani, Jie Sheng, Tomasz Żal and Sadhana Balasubramanyam. Their work appears in journals such as American Journal of Nephrology, Journal for ImmunoTherapy of Cancer, Cancer Immunology Research, ImmunoHorizons and JCI Insight.

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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