Mark L. Tykocinski

5.4k citations
90 papers · 4.4k indexed · 1 hit paper · h-index 38

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Reproductive System and Pregnancy
    • Complement system in diseases

Papers in

Mark L. Tykocinski

90 papers receiving 4.3k citations

Hit Papers

Smad3 and NFAT cooperate to induce Foxp3 expression through its enhancer 2007 · 634 citations
6342007202620132019200400600

Peers

Mark L. Tykocinski
Comparison fields: 5 of 130
  • Immunology 2.1k
  • Cancer Research 432
  • Molecular Biology 1.8k
  • Immunology and Allergy 154
  • Oncology 597
Replace Takahide Mori with:
Takahide Mori Japan
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Eun Young Choi South Korea
Kazuo Motoyoshi Japan
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Mark L. Tykocinski relative to Takahide Mori Japan Takahide Mori's profile →
Citations per field
00.5×1.5×1.9×
Takahide Mori · 1×
Citations per year

Countries citing papers authored by Mark L. Tykocinski

Since Specialization
Citations

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

Fields of papers citing papers by Mark L. Tykocinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark L. Tykocinski. 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 Mark L. Tykocinski. The network helps show where Mark L. Tykocinski may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20193
2 20188
3 201648
4 201534
5 201315
6 201011
7
Welcome and Opening Remarks
20071
8 200724
9 200516
10 200459
11 200324
12 200347
13 200038
14 200010
15 20002
16 199924
17 199833
18 199322
19 198975
20 1988118

About Mark L. Tykocinski

Mark L. Tykocinski is a scholar working on Immunology, Obstetrics and Gynecology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 90 papers that have together received 4.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (24 papers), Immune Cell Function and Interaction (21 papers), Immunotherapy and Immune Responses (18 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Virus-based gene therapy research (8 papers), Cell death mechanisms and regulation (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Immunology (2.1k citations), Cancer Research (432 citations), Molecular Biology (1.8k citations), Immunology and Allergy (154 citations) and Oncology (597 citations). Mark L. Tykocinski has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include M. Edward Medof, Yukiko Tone, Masahide Tone, Keiji Furuuchi, Yoshitsugu Kojima, Mark I. Greene, Jacob Rachmilewitz, Edward E. Max, Robert R. Getty and Dwight M. Morrow. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Cellular Immunology, FEBS Letters and International 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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