Masood N. Khan

2.9k citations
33 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Cellular transport and secretion (10 papers)Pancreatic function and diabetes (10 papers)Metabolism, Diabetes, and Cancer (8 papers)
Partner nations
CanadaUnited StatesLibya

In The Last Decade

Masood N. Khan

33 papers receiving 2.0k citations

Hit Papers

Fit-for-Purpose Method Development and Validation for Suc...20062026201220192006100200300400500

Peers

Masood N. Khan
Comparison fields: 5 of 120
  • Molecular Biology 1.3k
  • Immunology 479
  • Cell Biology 437
  • Surgery 334
  • Endocrinology, Diabetes and Metabolism 223
Replace Ikuo Horii with:
Ikuo Horii Japan
Joy C. Yang United States
Urs Eppenberger Switzerland
Cindy H. Chau United States
Pamela A. Benfield United States
Jeanette McCarthy United States
Steven J. Santner United States
Yutaka Hashimoto Japan
J M Wood Switzerland
Edward Cotlier United States
Masood N. Khan relative to Ikuo Horii Japan Ikuo Horii's profile →
Citations per field
00.5×1.5×2.5×
Ikuo Horii · 1×
Citations per year

Countries citing papers authored by Masood N. Khan

Since Specialization
Citations

This map shows the geographic impact of Masood N. 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 N. 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 N. Khan more than expected).

Fields of papers citing papers by Masood N. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masood N. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Masood N. Khan. A scholar is included among the top collaborators of Masood N. Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masood N. Khan. Masood N. Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Ligand-binding assays : development, validation, and implementation in the drug development arena
25
2
Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurementbreakdown →
504
3 20
4 438
5 6
6 50
7 4
8 13
9 2
10 71
11 6
12 146
13 2
14 34
15 77
16 84
17 66
18 25
19 53
20 15

About Masood N. Khan

Masood N. Khan is a scholar working on Cell Biology, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Pancreatic function and diabetes (10 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Cell Biology (437 citations), Immunology (479 citations) and Molecular Biology (1.3k citations). Masood N. Khan has collaborated with scholars based in Canada, United States and Libya. Frequent co-authors include Barry I. Posner, John Bergeron, John W. A. Findlay, R J Khan, Gerald D. Nordblom, I. Das, Ronald R. Bowsher, Binodh DeSilva, W. Smith and Jonathan C. Cruz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Endocrine Reviews.

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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