Masood Alam Khan

3.2k citations
121 papers · 2.4k indexed · h-index 27

Masood Alam Khan

114 papers receiving 2.4k citations

Peers

Masood Alam Khan
Comparison fields: 5 of 137
  • Molecular Medicine 247
  • Complementary and alternative medicine 398
  • Toxicology 160
  • Pharmacology 193
  • Immunology 456
Replace Dong‐Yeul Kwon with:
Dong‐Yeul Kwon South Korea
Ok‐Hwa Kang South Korea
Dongli Li China
Sosmitha Girisa India
Feroz Khan India
Ji Hye Kim United States
Kishore Banik India
Khaled S. Allemailem Saudi Arabia
Chandrasekharan Guruvayoorappan India
Dharmendra Kumar Yadav India
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Citations per field
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Dong‐Yeul Kwon · 1×
Citations per year

Countries citing papers authored by Masood Alam Khan

Since Specialization
Citations

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

Fields of papers citing papers by Masood Alam Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20252
3 20251
4 20243
5 20241
6 20231
7
Experimental and Theoretical Insights on Chemopreventive Effect of the Liposomal Thymoquinone Against Benzo[a]pyrene-Induced Lung Cancer in Swiss Albino Mice
202216
8 202211
9 20213
10 202043
11 202010
12 20188
13
Generalized order statistics from q-exponential type- II distribution and its characterization
20151
14 201459
15 201469
16 200917
17 20071
18 200562
19 20055
20 200113

About Masood Alam Khan

Masood Alam Khan is a scholar working on Complementary and alternative medicine, Toxicology and Molecular Medicine, having authored 121 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nigella sativa pharmacological applications (15 papers), Antifungal resistance and susceptibility (14 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (12 papers), Statistical Distribution Estimation and Applications (10 papers), Fungal Infections and Studies (8 papers), Natural Antidiabetic Agents Studies (7 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Molecular Medicine (247 citations), Complementary and alternative medicine (398 citations) and Toxicology (160 citations). Masood Alam Khan has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Hina Younus, Arshad Husain Rahmani, Arif Khan, Salah M. Aly, Randy R. Brutkiewicz, Mohammad Owais, Gourapura J. Renukaradhya, Khaled S. Allemailem, Jacquelyn Gervay‐Hague and Wenjun Du. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

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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