Pawan Noel
Impact in
-
- Natural Compounds in Disease Treatment
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
- Surgery 11
- Pancreatitis Pathology and Treatment 11
-
- Single-cell and spatial transcriptomics 3
- Histone Deacetylase Inhibitors Research 2
- Co-authors
- Haiyong Han (10 shared papers)Daniel D. Von Hoff (9 shared papers)Erkut Borazanci (2 shared papers)Ashok K. Saluja (1 shared paper)Vijay Singh (13 shared papers)Krutika Patel (11 shared papers)Wei Lin (4 shared papers)Ram N. Trivedi (8 shared papers)
- Journals
- American Journal Of Pathology (4 papers)Gastroenterology (3 papers)Genetics (2 papers)PLoS ONE (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Pawan Noel
25 papers receiving 988 citations
Pawan Noel's Hit Papers
Peers
Comparison fields: 5 of 80
- Complementary and alternative medicine 132
- Oncology 262
- Cancer Research 120
- Surgery 286
- Molecular Biology 410
Countries citing papers authored by Pawan Noel
This map shows the geographic impact of Pawan Noel'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 Pawan Noel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Noel more than expected).
Fields of papers citing papers by Pawan Noel
This network shows the impact of papers produced by Pawan Noel. 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 Pawan Noel. The network helps show where Pawan Noel may publish in the future.
Co-authors
The 25 scholars most cited alongside Pawan Noel, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Triptolide and Its Derivatives as Cancer Therapies Hit paper breakdown → | 2019 | 250 |
| 2 | 2020 | 174 | |
| 3 | 2015 | 96 | |
| 4 | 2013 | 79 | |
| 5 | 2019 | 51 | |
| 6 | 2021 | 49 | |
| 7 | 2020 | 48 | |
| 8 | 2014 | 46 | |
| 9 | 2009 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 21 | |
| 13 | 2010 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2012 | 11 | |
| 18 | 2016 | 10 | |
| 19 | 2013 | 9 | |
| 20 | 2017 | 8 |
About Pawan Noel
Pawan Noel is a scholar working on Surgery, Molecular Biology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 996 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (11 papers), Liver Disease Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (2 papers), Diabetes and associated disorders (2 papers), Cancer Cells and Metastasis (2 papers), Natural Compounds in Disease Treatment (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Complementary and alternative medicine (132 citations), Oncology (262 citations), Cancer Research (120 citations), Surgery (286 citations) and Molecular Biology (410 citations). Pawan Noel has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Haiyong Han, Daniel D. Von Hoff, Erkut Borazanci, Ashok K. Saluja, Vijay Singh, Krutika Patel, Wei Lin, Ram N. Trivedi, Sarah Navina and Rachel Cline. Their work appears in journals such as American Journal Of Pathology, Gastroenterology, Genetics, PLoS ONE and Journal of Visualized Experiments.
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.