David J. Tweardy
Impact in
- Oncology top 0.5%
- Cytokine Signaling Pathways and Interactions
- HER2/EGFR in Cancer Research
- Otorhinolaryngology top 0.5%
- Head and Neck Cancer Studies
Papers in
- Oncology 83
- Cytokine Signaling Pathways and Interactions 69
- Immunology 53
- Immune Response and Inflammation 25
- Co-authors
- Jennifer R. GrandisTimothy R. BilliarMoses M. KasembeliStephanie D. DrenningNaijie JingMona F. MelhemUddalak BharadwajChristian Hierholzer
- Journals
- Blood (13 papers)Shock (7 papers)PLoS ONE (7 papers)Archives of Orthopaedic and Trauma Surgery (6 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
David J. Tweardy
199 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Oncology 3.6k
- Otorhinolaryngology 472
- Critical Care and Intensive Care Medicine 496
- Immunology 2.0k
- Cancer Research 1.0k
Countries citing papers authored by David J. Tweardy
This map shows the geographic impact of David J. Tweardy'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 David J. Tweardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Tweardy more than expected).
Fields of papers citing papers by David J. Tweardy
This network shows the impact of papers produced by David J. Tweardy. 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 David J. Tweardy. The network helps show where David J. Tweardy may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Tweardy, 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 | 2023 | 8 | |
| 2 | DRUGGING "UNDRUGGABLE" DISEASE-CAUSING PROTEINS: FOCUS ON SIGNAL TRANSDUCER AND ACTIVATOR OF TRANSCRIPTION (STAT) 3. | 2022 | 4 |
| 3 | 2022 | 31 | |
| 4 | 2021 | 30 | |
| 5 | 2017 | 98 | |
| 6 | 2017 | 68 | |
| 7 | 2015 | 45 | |
| 8 | 2011 | 25 | |
| 9 | 2009 | 18 | |
| 10 | 2006 | 58 | |
| 11 | 2006 | 18 | |
| 12 | 2006 | 19 | |
| 13 | 2005 | 98 | |
| 14 | 2004 | 12 | |
| 15 | 2003 | 77 | |
| 16 | 1997 | 25 | |
| 17 | 1996 | 99 | |
| 18 | 1995 | 28 | |
| 19 | 1994 | 46 | |
| 20 | 1993 | 93 |
About David J. Tweardy
David J. Tweardy is a scholar working on Oncology, Immunology, Critical Care and Intensive Care Medicine, Otorhinolaryngology and Pathology and Forensic Medicine, having authored 200 papers that have together received 10.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (69 papers), Immune Response and Inflammation (25 papers), Cancer Mechanisms and Therapy (16 papers), Sepsis Diagnosis and Treatment (14 papers), Acute Myeloid Leukemia Research (13 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), Retinoids in leukemia and cellular processes (12 papers) and NF-κB Signaling Pathways (9 papers). The work is most often cited by research in Oncology (3.6k citations), Otorhinolaryngology (472 citations), Critical Care and Intensive Care Medicine (496 citations), Immunology (2.0k citations) and Cancer Research (1.0k citations). David J. Tweardy has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Jennifer R. Grandis, Timothy R. Billiar, Moses M. Kasembeli, Stephanie D. Drenning, Naijie Jing, Mona F. Melhem, Uddalak Bharadwaj, Christian Hierholzer, Qing Zeng and Kevin F. Dyer. Their work appears in journals such as Blood, Shock, PLoS ONE, Archives of Orthopaedic and Trauma Surgery and Journal of Biological Chemistry.
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.