K. Khan

476 citations
14 papers · 389 indexed · h-index 9

Impact in

  • Cell Biology top 10%
    • Muscle metabolism and nutrition
  • Physiology top 10%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Thermoregulation and physiological responses

Papers in

    • Diet and metabolism studies 8
    • Adipose Tissue and Metabolism 5
    • Thermoregulation and physiological responses 3
    • Body Composition Measurement Techniques 3
    • Cardiovascular and exercise physiology 4

K. Khan

14 papers receiving 365 citations

Peers

K. Khan
Comparison fields: 5 of 69
  • Cell Biology 142
  • Physiology 216
  • Clinical Biochemistry 46
  • Nutrition and Dietetics 89
  • Complementary and alternative medicine 36
Replace Megan A Read with:
Megan A Read United Kingdom
I Puhakainen Finland
Filiz Gündüz Türkiye
M. Persson United States
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Margaret A. Griffiths United States
S. M. Humphreys United Kingdom
Arnold Naimark Canada
Rita J. Louard United States
Halvar Bergman Sweden
K. Khan relative to Megan A Read United Kingdom Megan A Read's profile →
Citations per field
00.5×
Megan A Read · 1×
Citations per year

Countries citing papers authored by K. Khan

Since Specialization
Citations

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

Fields of papers citing papers by K. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside K. 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 K. Khan Line = papers co-authored together K. Khan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 19991
2 19956
3 19947
4 199446
5 199451
6 199327
7 199351
8 19921
9 199137
10 199149
11 199155
12 19918
13 199120
14 199030

About K. Khan

K. Khan is a scholar working on Physiology, Complementary and alternative medicine, Cell Biology, Clinical Biochemistry and Developmental Neuroscience, having authored 14 papers that have together received 389 indexed citations. Recurring topics across this work include Diet and metabolism studies (8 papers), Muscle metabolism and nutrition (6 papers), Adipose Tissue and Metabolism (5 papers), Cardiovascular and exercise physiology (4 papers), Clinical Nutrition and Gastroenterology (3 papers), Thermoregulation and physiological responses (3 papers), Body Composition Measurement Techniques (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Cell Biology (142 citations), Physiology (216 citations), Clinical Biochemistry (46 citations), Nutrition and Dietetics (89 citations) and Complementary and alternative medicine (36 citations). K. Khan has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include M. Elia, A V Kurpad, Simon W. Coppack, Keith N. Frayn, A. G. Calder, Graham Calder, Gil Hardy, Susan M. Wood, Ian Macdonald and Edgar Pullicino. Their work appears in journals such as Clinical Nutrition, Clinical Science, Acta Anaesthesiologica Scandinavica, American Journal of Physiology-Endocrinology and Metabolism and Clinical Chemistry.

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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