Leonard D’Amico
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- Zebrafish Biomedical Research Applications 6
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- T-cell and B-cell Immunology 2
- Co-authors
- Mark Scott Cooper (4 shared papers)Benno Jungblut (4 shared papers)Ian C. Scott (4 shared papers)Didier Y. R. Stainier (4 shared papers)Steven P. Fling (5 shared papers)Mary Lenora Disis (2 shared papers)Melissa Ann Geller (1 shared paper)Kunle O. Odunsi (1 shared paper)
- Journals
- Journal for ImmunoTherapy of Cancer (4 papers)Developmental Biology (2 papers)Biochemistry and Cell Biology (2 papers)Cell Transplantation (2 papers)Patterns (1 paper)
- Partner nations
- United StatesPolandItaly
In The Last Decade
Leonard D’Amico
23 papers receiving 1.9k citations
Leonard D’Amico's Hit Papers
Peers
Comparison fields: 5 of 110
- Cell Biology 398
- Immunology 372
- Oncology 371
- Molecular Biology 927
- Biological Psychiatry 26
Countries citing papers authored by Leonard D’Amico
This map shows the geographic impact of Leonard D’Amico'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 Leonard D’Amico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard D’Amico more than expected).
Fields of papers citing papers by Leonard D’Amico
This network shows the impact of papers produced by Leonard D’Amico. 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 Leonard D’Amico. The network helps show where Leonard D’Amico may publish in the future.
Co-authors
The 25 scholars most cited alongside Leonard D’Amico, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene expression markers of Tumor Infiltrating Leukocytes Hit paper breakdown → | 2017 | 589 |
| 2 | 2005 | 302 | |
| 3 | 1996 | 152 | |
| 4 | 2007 | 150 | |
| 5 | 2007 | 109 | |
| 6 | 2020 | 99 | |
| 7 | 2007 | 82 | |
| 8 | 1998 | 76 | |
| 9 | 2001 | 68 | |
| 10 | 2022 | 60 | |
| 11 | 2021 | 58 | |
| 12 | 1997 | 41 | |
| 13 | 2012 | 37 | |
| 14 | 2021 | 27 | |
| 15 | 2012 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2003 | 20 | |
| 18 | 2017 | 13 | |
| 19 | 2016 | 11 | |
| 20 | 2024 | 5 |
About Leonard D’Amico
Leonard D’Amico is a scholar working on Cell Biology, Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (6 papers), Developmental Biology and Gene Regulation (3 papers), Congenital heart defects research (3 papers), Diabetes and associated disorders (2 papers), Pancreatic function and diabetes (2 papers), T-cell and B-cell Immunology (2 papers), Diabetes Management and Research (2 papers) and Coronary Artery Anomalies (1 paper). The work is most often cited by research in Cell Biology (398 citations), Immunology (372 citations), Oncology (371 citations), Molecular Biology (927 citations) and Biological Psychiatry (26 citations). Leonard D’Amico has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Mark Scott Cooper, Benno Jungblut, Ian C. Scott, Didier Y. R. Stainier, Steven P. Fling, Mary Lenora Disis, Melissa Ann Geller, Kunle O. Odunsi, Patrick J. Danaher and Joseph Beechem. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Developmental Biology, Biochemistry and Cell Biology, Cell Transplantation and Patterns.
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.