Sam Khan

454 citations
18 papers · 96 indexed · h-index 6

Impact in

Papers in

    • Global Cancer Incidence and Screening 3
    • Cancer Treatment and Pharmacology 2
    • Lung Cancer Research Studies 2
    • COVID-19 and healthcare impacts 2
    • Cancer Genomics and Diagnostics 2

Sam Khan

14 papers receiving 94 citations

Peers

Sam Khan
Comparison fields: 5 of 37
  • Hepatology 23
  • Cancer Research 19
  • Oncology 31
  • Pulmonary and Respiratory Medicine 26
  • Epidemiology 20
Replace Anne‐Laure Védié with:
Anne‐Laure Védié France
Yunpeng Gao United States
Valentina Zanuso Italy
Jigjidsuren Chinburen Mongolia
Yehia I. Abugabal United States
Olivier Ingster France
Edward Y. Zhu United States
Erik Ramon‐Gil United Kingdom
Yuye Zhang China
Letizia Amadori United States
Sam Khan relative to Anne‐Laure Védié France Anne‐Laure Védié's profile →
Citations per field
00.5×1.5×1.8×
Anne‐Laure Védié · 1×
Citations per year

Countries citing papers authored by Sam Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sam Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Khan. 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 Sam Khan. The network helps show where Sam Khan may publish in the future.

Co-authors

The 25 scholars most cited alongside Sam Khan, 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 Sam Khan Line = papers co-authored together Sam Khan links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202128
2 201515
3 202211
4 20229
5 20227
6 20236
7 20235
8 20223
9 20232
10 20242
11 20252
12 20222
13 20252
14
Aging Men and Prostate Cancer
20161
15 20241
16 20250
17 20230
18 20240

About Sam Khan

Sam Khan is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Hepatology and Statistics and Probability, having authored 18 papers that have together received 96 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Cancer therapeutics and mechanisms (3 papers), Global Cancer Incidence and Screening (3 papers), Cancer Treatment and Pharmacology (2 papers), Lung Cancer Research Studies (2 papers), Cancer Genomics and Diagnostics (2 papers), COVID-19 and healthcare impacts (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hepatology (23 citations), Cancer Research (19 citations), Oncology (31 citations), Pulmonary and Respiratory Medicine (26 citations) and Epidemiology (20 citations). Sam Khan has collaborated with scholars based in United Kingdom, Canada and South Korea. Frequent co-authors include Giuseppe Garcea, Ashley R. Dennison, Richard Bayliss, Laura O’Regan, Andrew M. Fry, Paul J. Ross, Richard Hubner, Suzanne Darby, Catrin Pritchard and Ankur Karmokar. Their work appears in journals such as British Journal of Cancer, Cancers, Molecular Cancer Research, Journal of Clinical Oncology and BMJ Open.

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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