Praval Khanal

940 citations
16 papers · 214 indexed · h-index 9
Topics
Nutrition and Health in Aging (6 papers)Muscle Physiology and Disorders (5 papers)Genetics and Physical Performance (5 papers)

In The Last Decade

Praval Khanal

16 papers receiving 213 citations

Peers

Praval Khanal
Comparison fields: 5 of 81
  • Physiology 89
  • Molecular Biology 55
  • Genetics 46
  • Cell Biology 40
  • Orthopedics and Sports Medicine 23
Replace Grasiely Faccin Borges with:
Grasiely Faccin Borges Brazil
Fenglan Wang China
Cheng-Ho Tsai Taiwan
A. S. Slingerland Netherlands
Juan López-Taylor Mexico
Alfredo Jones United States
Krzysztof Borysławski Poland
Bhanuprasad Sandesara United States
Anoohya Gandham Australia
C.M. Jankowski
Praval Khanal relative to Grasiely Faccin Borges Brazil Grasiely Faccin Borges's profile →
Citations per field
00.5×3.1×
Grasiely Faccin Borges · 1×
Citations per year

Countries citing papers authored by Praval Khanal

Since Specialization
Citations

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

Fields of papers citing papers by Praval Khanal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praval Khanal

This figure shows the co-authorship network connecting the top 25 collaborators of Praval Khanal. A scholar is included among the top collaborators of Praval Khanal 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 Praval Khanal. Praval Khanal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 31
2 5
3 6
4 14
5 7
6 22
7 7
8 18
9 24
10 15
11 18
12 5
13 26
14
Association between nutrient intake, physical activity and sarcopenia-related gene-promoter DNA methylation
1
15 12
16 3

About Praval Khanal

Praval Khanal is a scholar working on Neuropsychology and Physiological Psychology, Geriatrics and Gerontology and Genetics, having authored 16 papers that have together received 214 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (6 papers), Muscle Physiology and Disorders (5 papers) and Genetics and Physical Performance (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (8 citations), Geriatrics and Gerontology (19 citations) and Physiology (89 citations). Praval Khanal has collaborated with scholars based in United Kingdom, Belgium and Lithuania. Frequent co-authors include Alun G. Williams, Lingxiao He, Martine Thomis, Christopher I. Morse, Gladys Onambélé-Pearson, Georgina K. Stebbings, Hans Degens, Sunil Shrestha, Roy Rillera Marzo and Devi Mohan. Their work appears in journals such as Scientific Reports, Nutrients and Journal of Clinical Medicine.

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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