Preet M. Chaudhary
- Oncology top 0.5%
- Viral-associated cancers and disorders 26
- Immunology top 1%
- interferon and immune responses 8
- Cancer Research top 1%
- NF-κB Signaling Pathways 19
- Molecular Biology top 2%
- Cell death mechanisms and regulation 13
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 9
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- Herpesvirus Infections and Treatments 15
- Cytomegalovirus and herpesvirus research 11
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- Acute Lymphoblastic Leukemia research 9
- Co-authors
- Igor B. RoninsonHittu MattaMichael EbyLeroy HoodAlan JasminArvind KumarSuwan K. SinhaQinmiao Sun
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesTaiwanFrance
In The Last Decade
Preet M. Chaudhary
84 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Oncology 2.8k
- Immunology 1.9k
- Cancer Research 1.2k
- Molecular Biology 3.4k
- Hematology 375
Countries citing papers authored by Preet M. Chaudhary
This map shows the geographic impact of Preet M. Chaudhary'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 Preet M. Chaudhary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preet M. Chaudhary more than expected).
Fields of papers citing papers by Preet M. Chaudhary
This network shows the impact of papers produced by Preet M. Chaudhary. 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 Preet M. Chaudhary. The network helps show where Preet M. Chaudhary may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Preet M. Chaudhary, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2013 | 45 | |
| 6 | 2012 | 23 | |
| 7 | 2011 | 13 | |
| 8 | 2010 | 16 | |
| 9 | 2009 | 52 | |
| 10 | 2009 | 275 | |
| 11 | 2006 | 38 | |
| 12 | 2005 | 20 | |
| 13 | 2004 | 9 | |
| 14 | 2004 | 3 | |
| 15 | 2003 | 162 | |
| 16 | 2003 | 138 | |
| 17 | Deregulation of caspase 8 and 10 expression in pediatric tumors and cell lines. | 2002 | 147 |
| 18 | 2002 | 120 | |
| 19 | 2001 | 15 | |
| 20 | Death Receptor 5, a New Member of the TNFR Family, and DR4 Induce FADD-Dependent Apoptosis and Activate the NF-κB Pathwaybreakdown → | 1997 | 603 |
About Preet M. Chaudhary
Preet M. Chaudhary is a scholar working on Oncology, Hematology and Cancer Research, having authored 88 papers that have together received 6.4k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (26 papers), NF-κB Signaling Pathways (19 papers), Herpesvirus Infections and Treatments (15 papers), Cell death mechanisms and regulation (13 papers), Cytomegalovirus and herpesvirus research (11 papers), Hematopoietic Stem Cell Transplantation (9 papers), Acute Lymphoblastic Leukemia research (9 papers) and interferon and immune responses (8 papers). The work is most often cited by research in Oncology (2.8k citations), Immunology (1.9k citations) and Cancer Research (1.2k citations). Preet M. Chaudhary has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Igor B. Roninson, Hittu Matta, Michael Eby, Leroy Hood, Alan Jasmin, Arvind Kumar, Suwan K. Sinha, Qinmiao Sun, Adi F. Gazdar and Vasu Punj. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.