Evan Parganas
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Immunology top 1%
- Immune Cell Function and Interaction
- interferon and immune responses
Papers in
-
- Acute Myeloid Leukemia Research 6
- Oncology 20
- Cytokine Signaling Pathways and Interactions 16
- Co-authors
- James N. IhleDemin WangJean‐Christophe MarineDavid J. TophamDimitrios J. StravopodisJohn L. ClevelandPeter J. MurrayKazuhiro Morishita
- Journals
- Blood (7 papers)Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (2 papers)Nature Immunology (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Evan Parganas
37 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Hematology 1.3k
- Immunology 1.9k
- Oncology 2.4k
- Genetics 771
- Pharmacology 377
Countries citing papers authored by Evan Parganas
This map shows the geographic impact of Evan Parganas'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 Evan Parganas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Parganas more than expected).
Fields of papers citing papers by Evan Parganas
This network shows the impact of papers produced by Evan Parganas. 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 Evan Parganas. The network helps show where Evan Parganas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Evan Parganas, 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 | 2010 | 20 | |
| 2 | 2008 | 200 | |
| 3 | 2008 | 19 | |
| 4 | 2007 | 66 | |
| 5 | 2006 | 55 | |
| 6 | 2005 | 16 | |
| 7 | 2005 | 111 | |
| 8 | 2004 | 114 | |
| 9 | 2003 | 81 | |
| 10 | Puma is an essential mediator of p53-dependent and -independent apoptotic pathways Hit paper breakdown → | 2003 | 727 |
| 11 | 2003 | 363 | |
| 12 | 2002 | 36 | |
| 13 | 2000 | 390 | |
| 14 | 2000 | 254 | |
| 15 | 1999 | 2 | |
| 16 | 1999 | 446 | |
| 17 | 1999 | 304 | |
| 18 | 1998 | 93 | |
| 19 | Jak2 Is Essential for Signaling through a Variety of Cytokine Receptors Hit paper breakdown → | 1998 | 882 |
| 20 | 1992 | 104 |
About Evan Parganas
Evan Parganas is a scholar working on Hematology, Oncology, Immunology, Genetics and Molecular Biology, having authored 37 papers that have together received 5.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (16 papers), Acute Myeloid Leukemia Research (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Cancer-related gene regulation (4 papers), Immune Cell Function and Interaction (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Hematology (1.3k citations), Immunology (1.9k citations), Oncology (2.4k citations), Genetics (771 citations) and Pharmacology (377 citations). Evan Parganas has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include James N. Ihle, Demin Wang, Jean‐Christophe Marine, David J. Topham, Dimitrios J. Stravopodis, John L. Cleveland, Peter J. Murray, Kazuhiro Morishita, Stephan Teglund and Akihiko Yoshimura. Their work appears in journals such as Blood, Cell, Proceedings of the National Academy of Sciences, Molecular Cell and Nature 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.