Ashwin R. Sama

620 citations
27 papers · 481 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Screening and Detection
    • Cancer Cells and Metastasis
    • Colorectal Cancer Surgical Treatments

Papers in

Ashwin R. Sama

26 papers receiving 474 citations

Peers

Ashwin R. Sama
Comparison fields: 5 of 53
  • Hepatology 78
  • Oncology 253
  • Cancer Research 62
  • Pathology and Forensic Medicine 56
  • Immunology 64
Replace Jiannan Yao with:
Jiannan Yao China
Hiroki Ikezawa Japan
Pamela Biondani Italy
Nuria Rodrı́guez-Salas Spain
Eleni Vrettou Greece
Toshiro Ogura Japan
Fa-Chyi Lee United States
Olugbenga Olowokure United States
Marcus Smith Noel United States
Depei Huang China
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Citations per field
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Jiannan Yao · 1×
Citations per year

Countries citing papers authored by Ashwin R. Sama

Since Specialization
Citations

This map shows the geographic impact of Ashwin R. Sama'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 Ashwin R. Sama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin R. Sama more than expected).

Fields of papers citing papers by Ashwin R. Sama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashwin R. Sama. 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 Ashwin R. Sama. The network helps show where Ashwin R. Sama may publish in the future.

Co-authors

The 25 scholars most cited alongside Ashwin R. Sama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashwin R. Sama Line = papers co-authored together Ashwin R. Sama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016105
2 201890
3 201955
4 202142
5 201828
6 201126
7 201625
8 201718
9 202117
10 202213
11 201512
12 20189
13 20188
14 20167
15 20176
16 20145
17 20153
18 20143
19 20152
20 20151

About Ashwin R. Sama

Ashwin R. Sama is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 27 papers that have together received 481 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Multiple and Secondary Primary Cancers (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Hepatology (78 citations), Oncology (253 citations), Cancer Research (62 citations), Pathology and Forensic Medicine (56 citations) and Immunology (64 citations). Ashwin R. Sama has collaborated with scholars based in United States, Spain and Taiwan. Frequent co-authors include Hushan Yang, Bing‐Hua Jiang, Juan Palazzo, Yinzhi Lai, Terry Hyslop, Chun Wang, Zhong Ye, Ronald E. Myers, Jesse Civan and Bingshan Li. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, The Oncologist, Molecular Cancer Therapeutics and Journal of Surgical Oncology.

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.

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