Mark Pezzano

524 citations
23 papers · 410 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Circadian rhythm and melatonin

Papers in

Mark Pezzano

23 papers receiving 405 citations

Peers

Mark Pezzano
Comparison fields: 5 of 65
  • Immunology 233
  • Endocrine and Autonomic Systems 31
  • Endocrinology 16
  • Microbiology 2
  • Endocrinology, Diabetes and Metabolism 35
Replace Xinye Yin with:
Xinye Yin United States
Qian Shen China
Jean-Claude Garaud France
Andrea R. Bennett United Kingdom
Audrey W. Li Canada
Mourad Métioui Belgium
Ikuyo Maruyama Japan
Thea Brabb United States
Tommaso Nastasi Italy
Ilaria Nisoli United Kingdom
Mark Pezzano relative to Xinye Yin United States Xinye Yin's profile →
Citations per field
00.5×10×16×
Xinye Yin · 1×
Citations per year

Countries citing papers authored by Mark Pezzano

Since Specialization
Citations

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

Fields of papers citing papers by Mark Pezzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200657
2 201047
3 200235
4 200131
5 199228
6 201027
7 199320
8 199620
9 199917
10
Thymic nurse cell rescue of early CD4+CD8+ thymocytes from apoptosis.
199517
11 199815
12 201314
13 199112
14 201011
15 200411
16 200111
17 20008
18
TNF and Fas-induced apoptosis during negative selection in thymic nurse cells.
20018
19 20197
20
Thymic nurse cell multicellular complexes in HY-TCR transgenic mice demonstrate their association with MHC restriction.
20077

About Mark Pezzano

Mark Pezzano is a scholar working on Immunology, Pediatrics, Perinatology and Child Health, Molecular Biology, Oncology and Genetics, having authored 23 papers that have together received 410 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Phagocytosis and Immune Regulation (3 papers), Lymphatic System and Diseases (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Immunology (233 citations), Endocrine and Autonomic Systems (31 citations), Endocrinology (16 citations), Microbiology (2 citations) and Endocrinology, Diabetes and Metabolism (35 citations). Mark Pezzano has collaborated with scholars based in United States, France and Italy. Frequent co-authors include J. Guyden, Masako Osada, Deborah Philp, Thomas Andl, Derek B. Sant’Angelo, Ruth Misir, Sarah E. Millar, Yang Li, Yang Li and Emi Ito. Their work appears in journals such as Cellular Immunology, PLoS ONE, Journal of Immunology Research, The Journal of Immunology and Microbiology and Molecular Biology Reviews.

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.

Explore authors with similar magnitude of impact