Salman Khan

6.0k citations
133 papers · 4.3k · h-index 39

Impact in

Papers in

Salman Khan

122 papers receiving 4.2k citations

Peers

Salman Khan
Comparison fields: 5 of 147
  • Molecular Medicine 387
  • Pharmaceutical Science 402
  • Pharmacology 517
  • Biological Psychiatry 119
  • Complementary and alternative medicine 269
Replace Imran Kazmi with:
Imran Kazmi Saudi Arabia
Jung‐Ae Kim South Korea
Qilong Wang China
Sami I. Alzarea Saudi Arabia
Huiping Zhou United States
Yeong‐Min Park South Korea
Keshav Raj Paudel Australia
V. Ravichandiran India
M. Moshahid A. Rizvi India
Mohamed A. Morsy Egypt
Salman Khan relative to Imran Kazmi Saudi Arabia Imran Kazmi's profile →
Citations per field
00.5×1.5×1.9×
Imran Kazmi · 1×
Citations per year

Countries citing papers authored by Salman Khan

Since Specialization
Citations

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

Fields of papers citing papers by Salman Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001356
2 2018184
3 2012171
4 2010158
5 2020128
6 2019120
7 201989
8 201187
9 201882
10 201081
11 201877
12 201276
13 202073
14 201969
15 202067
16 200866
17 202165
18 201259
19 201254
20 202153

About Salman Khan

Salman Khan is a scholar working on Molecular Biology, Pharmacology, Physiology, Pharmaceutical Science and Immunology, having authored 133 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (15 papers), Natural product bioactivities and synthesis (11 papers), Pain Mechanisms and Treatments (11 papers), Advancements in Transdermal Drug Delivery (11 papers), Advanced Drug Delivery Systems (9 papers), Toxin Mechanisms and Immunotoxins (7 papers), Tryptophan and brain disorders (6 papers) and Biofuel production and bioconversion (6 papers). The work is most often cited by research in Molecular Medicine (387 citations), Pharmaceutical Science (402 citations), Pharmacology (517 citations), Biological Psychiatry (119 citations) and Complementary and alternative medicine (269 citations). Salman Khan has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Yeong Shik Kim, Hussain Ali, Bushra Shal, Ashraf Ullah Khan, Adnan Khan, Omer Shehzad, Ran Joo Choi, Adeeb Shehzad, Joong Kon Park and Lance R. Peterson. Their work appears in journals such as International Immunopharmacology, Journal of Drug Delivery Science and Technology, Life Sciences, Inflammopharmacology and Nanomedicine.

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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