Shaukat Khan

3.4k citations
64 papers · 1.9k indexed · h-index 26
  • Physiology top 2%
    • Lysosomal Storage Disorders Research 27
    • Proteoglycans and glycosaminoglycans research 5
  • Epidemiology top 10%
    • Trypanosoma species research and implications 11
  • Genetics top 10%
    • Virus-based gene therapy research 7
    • Carbohydrate Chemistry and Synthesis 10
    • Glycosylation and Glycoproteins Research 6
    • CRISPR and Genetic Engineering 6
    • TGF-β signaling in diseases 5

Shaukat Khan

60 papers receiving 1.9k citations

Peers

Shaukat Khan
Comparison fields: 5 of 112
  • Physiology 821
  • Cell Biology 224
  • Rheumatology 206
  • Epidemiology 416
  • Genetics 305
Replace Thierry Billette de Villemeur with:
Thierry Billette de Villemeur France
Konen Obayashi Japan
Anja Köster Netherlands
Mohammad A. Karim United States
Federica Deodato Italy
Saida Ortolano Spain
Akihiro Funakoshi Japan
N. G. G. M. Abeling Netherlands
James C. Engert Canada
Shaukat Khan relative to Thierry Billette de Villemeur France Thierry Billette de Villemeur's profile →
Citations per field
00.5×1.6×
Thierry Billette de Villemeur · 1×
Citations per year

Countries citing papers authored by Shaukat Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shaukat Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20250
5 20248
6 20241
7 20243
8 20236
9 202212
10 202029
11 201993
12 20198
13 201864
14 201270
15 20107
16 20090
17 2007159
18 200732
19 200715
20 200514

About Shaukat Khan

Shaukat Khan is a scholar working on Physiology, Genetics and Cell Biology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (27 papers), Trypanosoma species research and implications (11 papers), Carbohydrate Chemistry and Synthesis (10 papers), Virus-based gene therapy research (7 papers), Glycosylation and Glycoproteins Research (6 papers), CRISPR and Genetic Engineering (6 papers), Proteoglycans and glycosaminoglycans research (5 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Physiology (821 citations), Cell Biology (224 citations) and Rheumatology (206 citations). Shaukat Khan has collaborated with scholars based in United States, Japan and Colombia. Frequent co-authors include Shunji Tomatsu, Samia H. Sobki, Haseeb A. Khan, Takeshi Tsuda, Robert W. Mason, Tadao Orii, Li‐Na Wei, Yasuyuki Suzuki, M. D. Mostaqul Huq and Kenji E. Orii. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

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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