JoAnn Trial

75 papers receiving 3.9k citations

Peers

JoAnn Trial
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 1.0k
  • Immunology 730
  • Immunology and Allergy 172
  • Virology 127
  • Pathology and Forensic Medicine 407
Replace Marco Marchisio with:
Marco Marchisio Italy
Makoto Naito Japan
Aleksey Chudnovskiy United States
Martha Kirby United States
Steven R. Cohen United States
Gianluca Fossati Italy
Edward B. Thorp United States
Yoshinari Takasaki Japan
Thomas Kerkau Germany
Denis Bouchard Canada
JoAnn Trial relative to Marco Marchisio Italy Marco Marchisio's profile →
Citations per field
00.5×3.3×
Marco Marchisio · 1×
Citations per year

Countries citing papers authored by JoAnn Trial

Since Specialization
Citations

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

Fields of papers citing papers by JoAnn Trial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983414
2 1983348
3 2006277
4 1997187
5 2010168
6 2009139
7 1992126
8 2010110
9 2013109
10 198698
11 200988
12 199587
13 201384
14 200882
15 201179
16 199666
17 199358
18 200556
19 202055
20 200053

About JoAnn Trial

JoAnn Trial is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Molecular Biology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (22 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (10 papers), HIV Research and Treatment (10 papers), Cell Adhesion Molecules Research (9 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Immunology (730 citations), Immunology and Allergy (172 citations), Virology (127 citations) and Pathology and Forensic Medicine (407 citations). JoAnn Trial has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Mark L. Entman, Katarzyna A. Cieslik, Sandra B. Haudek, Steven L. Teitelbaum, Zvi Bar‐Shavit, Pieter H. Reitsma, A. J. Kahn, Roger D. Rossen, George E. Taffet and Holly H. Birdsall. Their work appears in journals such as The Journal of Immunology, Journal of Molecular and Cellular Cardiology, Proceedings of the National Academy of Sciences, Cardiovascular Research and Journal of Leukocyte 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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