Kapil Yadav

1.5k citations
44 papers · 974 indexed · 1 hit paper · h-index 15

Kapil Yadav

34 papers receiving 915 citations

Hit Papers

Zika virus pandemic—analysis of Facebook as a social medi...276201620262019202250100150200250

Peers

Kapil Yadav
Comparison fields: 5 of 121
  • Health Information Management 69
  • Communication 86
  • Health 102
  • Endocrinology, Diabetes and Metabolism 199
  • Organizational Behavior and Human Resource Management 94
Replace Tina D Purnat with:
Tina D Purnat Switzerland
Israel Júnior Borges do Nascimento Brazil
Kurubaran Ganasegeran Malaysia
Diana Gosálvez Prados Spain
Richard Horton South Africa
Khaled Al–Surimi Saudi Arabia
Clara Bermúdez‐Tamayo Spain
Sebastián García-Saisó Mexico
Nandita Murukutla United States
Aaron Smith–McLallen United States
Kapil Yadav relative to Tina D Purnat Switzerland Tina D Purnat's profile →
Citations per field
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Tina D Purnat · 1×
Citations per year

Countries citing papers authored by Kapil Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20240
5 20234
6 20232
7 20229
8 20220
9 20212
10 20197
11 201819
12
Zika virus pandemic—analysis of Facebook as a social media health information platformbreakdown →
2016276
13 20161
14 201635
15 201613
16 201448
17 20141
18
Iodine deficiency disorders (IDD) control in India
201358
19 201336
20 201039

About Kapil Yadav

Kapil Yadav is a scholar working on Health Information Management, Endocrinology, Diabetes and Metabolism and Modeling and Simulation, having authored 44 papers that have together received 974 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Neonatal Health and Biochemistry (4 papers), Iron Metabolism and Disorders (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Healthcare Systems and Reforms (3 papers), COVID-19 Clinical Research Studies (3 papers), Global Maternal and Child Health (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Health Information Management (69 citations), Communication (86 citations) and Health (102 citations). Kapil Yadav has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Keith C. Ferdinand, Megha Sharma, Nitika Yadav, Chandrakant S Pandav, Vivek Gupta, Anand Krishnan, Rahul Srivastava, M G Karmarkar, Satyavir Singh and Prashant Mathur. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

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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