Anusila Deka
Impact in
- Oncology top 10%
- Cancer Risks and Factors
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Screening and Detection
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- Cancer, Lipids, and Metabolism
Papers in
- Oncology 5
- Cancer Risks and Factors 4
- Global Cancer Incidence and Screening 1
- Pancreatic and Hepatic Oncology Research 1
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- Cancer, Lipids, and Metabolism 4
- Co-authors
- Eric J. Jacobs (6 shared papers)Marjorie L. McCullough (3 shared papers)Michael J. Thun (4 shared papers)Alpa V. Patel (4 shared papers)Carmen Rodríguez (3 shared papers)Eugenia E. Calle (3 shared papers)Stephen J. Freedland (1 shared paper)Susan M. Gapstur (3 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (2 papers)American Journal of Epidemiology (1 paper)Cancer Causes & Control (1 paper)Gastroenterology (1 paper)Archives of Internal Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Anusila Deka
6 papers receiving 502 citations
Peers
Comparison fields: 5 of 69
- Oncology 317
- Cancer Research 113
- Pulmonary and Respiratory Medicine 180
- Endocrinology, Diabetes and Metabolism 69
- Molecular Biology 163
Countries citing papers authored by Anusila Deka
This map shows the geographic impact of Anusila Deka'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 Anusila Deka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anusila Deka more than expected).
Fields of papers citing papers by Anusila Deka
This network shows the impact of papers produced by Anusila Deka. 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 Anusila Deka. The network helps show where Anusila Deka may publish in the future.
Co-authors
The 18 scholars most cited alongside Anusila Deka, 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 | 2007 | 252 | |
| 2 | 2010 | 113 | |
| 3 | 2008 | 59 | |
| 4 | 2011 | 57 | |
| 5 | 2008 | 38 | |
| 6 | 2017 | 6 |
About Anusila Deka
Anusila Deka is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 525 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (4 papers), Cancer Risks and Factors (4 papers), Renin-Angiotensin System Studies (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Alcohol Consumption and Health Effects (1 paper), Global Cancer Incidence and Screening (1 paper), Estrogen and related hormone effects (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (317 citations), Cancer Research (113 citations), Pulmonary and Respiratory Medicine (180 citations), Endocrinology, Diabetes and Metabolism (69 citations) and Molecular Biology (163 citations). Anusila Deka has collaborated with scholars based in United States. Frequent co-authors include Eric J. Jacobs, Marjorie L. McCullough, Michael J. Thun, Alpa V. Patel, Carmen Rodríguez, Eugenia E. Calle, Stephen J. Freedland, Susan M. Gapstur, Christina C. Newton and Peter T. Campbell. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, American Journal of Epidemiology, Cancer Causes & Control, Gastroenterology and Archives of Internal Medicine.
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.