Arun Kumar Yadav

1.0k citations
70 papers · 667 indexed · h-index 13
Topics
Acute Ischemic Stroke Management (7 papers)COVID-19 and Mental Health (6 papers)S100 Proteins and Annexins (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONESynthesis
Partner nations
IndiaNepalUnited States

In The Last Decade

Arun Kumar Yadav

58 papers receiving 639 citations

Peers

Arun Kumar Yadav
Comparison fields: 5 of 113
  • Epidemiology 114
  • Reproductive Medicine 100
  • Molecular Biology 84
  • Public Health, Environmental and Occupational Health 81
  • Surgery 75
Replace Hossein Hosseinifard with:
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Roberto Littera Italy
Maryam Sharifian Iran
Koosha Paydary Iran
Ahmed Altibi United States
Ann Marie Kelly United States
Banu Aygün United States
Anna Radziszewska United Kingdom
Micol S. Rothman United States
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Arun Kumar Yadav relative to Hossein Hosseinifard Iran Hossein Hosseinifard's profile →
Citations per field
00.5×7.7×
Hossein Hosseinifard · 1×
Citations per year

Countries citing papers authored by Arun Kumar Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Arun Kumar Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun Kumar Yadav. 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 Arun Kumar Yadav. The network helps show where Arun Kumar Yadav may publish in the future.

Co-authorship network of co-authors of Arun Kumar Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Kumar Yadav. A scholar is included among the top collaborators of Arun Kumar Yadav 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 Arun Kumar Yadav. Arun Kumar Yadav 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 2
2 0
3 1
4 5
5 2
6 6
7 2
8 10
9 32
10 1
11 13
12 1
13 7
14 0
15 7
16 25
17 2
18 2
19 9
20 18

About Arun Kumar Yadav

Arun Kumar Yadav is a scholar working on Modeling and Simulation, Virology and Anatomy, having authored 70 papers that have together received 667 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), COVID-19 and Mental Health (6 papers) and S100 Proteins and Annexins (5 papers). The work is most often cited by research in Reproductive Medicine (100 citations), Virology (47 citations) and Modeling and Simulation (41 citations). Arun Kumar Yadav has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include Ritu Deswal, Amita Suneja Dang, Kameshwar Prasad, Pradeep Kumar, Shubham Misra, Amit Kumar, Awadh Kishor Pandit, Stephen R. Kearns, Sumit Kumar Jain and Sanjeev Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Synthesis.

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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