Joseph T. Crossno
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- Pulmonary Hypertension Research and Treatments 11
- Cancer Research top 10%
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 4
- Genetics top 10%
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors 6
- PI3K/AKT/mTOR signaling in cancer 3
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- Transplantation: Methods and Outcomes 3
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
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- Monoclonal and Polyclonal Antibodies Research 3
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- Cardiovascular Disease and Adiposity 2
- Co-authors
- Dwight J. KlemmSusan M. MajkaTodd J. GraziaRonald G. GillJane E.B. ReuschChrystelle GaratKurt R. StenmarkRaphael A. Nemenoff
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (1 paper)Blood (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Joseph T. Crossno
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Pulmonary and Respiratory Medicine 507
- Cancer Research 221
- Immunology and Allergy 87
- Genetics 139
- Molecular Biology 831
Countries citing papers authored by Joseph T. Crossno
This map shows the geographic impact of Joseph T. Crossno'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 Joseph T. Crossno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph T. Crossno more than expected).
Fields of papers citing papers by Joseph T. Crossno
This network shows the impact of papers produced by Joseph T. Crossno. 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 Joseph T. Crossno. The network helps show where Joseph T. Crossno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph T. Crossno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 14 | |
| 2 | 2019 | 7 | |
| 3 | 2014 | 26 | |
| 4 | 2013 | 48 | |
| 5 | 2012 | 32 | |
| 6 | 2011 | 63 | |
| 7 | 2011 | 30 | |
| 8 | 2011 | 106 | |
| 9 | 2010 | 12 | |
| 10 | 2010 | 7 | |
| 11 | 2009 | 70 | |
| 12 | 2006 | 211 | |
| 13 | 2006 | 35 | |
| 14 | 2006 | 101 | |
| 15 | 2006 | 9 | |
| 16 | 2006 | 144 | |
| 17 | 2004 | 181 | |
| 18 | 2002 | 18 | |
| 19 | 1999 | 34 | |
| 20 | 1994 | 13 |
About Joseph T. Crossno
Joseph T. Crossno is a scholar working on Immunology and Allergy, Pulmonary and Respiratory Medicine and Transplantation, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Cell Adhesion Molecules Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Transplantation: Methods and Outcomes (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (507 citations), Cancer Research (221 citations) and Immunology and Allergy (87 citations). Joseph T. Crossno has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dwight J. Klemm, Susan M. Majka, Todd J. Grazia, Ronald G. Gill, Jane E.B. Reusch, Chrystelle Garat, Kurt R. Stenmark, Raphael A. Nemenoff, Timothy M. Sullivan and Peter Simpson. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.
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.