Devi Dayal

259 papers receiving 2.5k citations

Peers

Devi Dayal
Comparison fields: 5 of 158
  • Soil Science 287
  • Endocrinology, Diabetes and Metabolism 433
  • Pathology and Forensic Medicine 241
  • Infectious Diseases 220
  • Genetics 336
Replace Joop P. van den Bergh with:
Joop P. van den Bergh Netherlands
Frank M. Davis United States
Clive Robinson United Kingdom
Chunyi Wang China
Karl Reiter Germany
Lars Nannestad Jørgensen Denmark
Francesco Giunta Italy
Mohamed Amrani United Kingdom
Tohru Yoneyama Japan
Jie Zhang China
Devi Dayal relative to Joop P. van den Bergh Netherlands Joop P. van den Bergh's profile →
Citations per field
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Joop P. van den Bergh · 1×
Citations per year

Countries citing papers authored by Devi Dayal

Since Specialization
Citations

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

Fields of papers citing papers by Devi Dayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 297 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006198
2 2020197
3 199980
4 200352
5 201550
6 198950
7 200248
8 202043
9 201842
10 201840
11 202037
12 201535
13 201434
14 201432
15 201832
16
Carbon sequestration in agroforestry and pasture systems in arid northwestern India
201431
17 201530
18 201829
19 201727
20 201727

About Devi Dayal

Devi Dayal is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Soil Science and Agronomy and Crop Science, having authored 297 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (32 papers), Diabetes Management and Research (30 papers), Thyroid Disorders and Treatments (21 papers), Pancreatic function and diabetes (17 papers), Sexual Differentiation and Disorders (16 papers), Vitamin D Research Studies (13 papers), Agricultural Science and Fertilization (10 papers) and Antifungal resistance and susceptibility (10 papers). The work is most often cited by research in Soil Science (287 citations), Endocrinology, Diabetes and Metabolism (433 citations), Pathology and Forensic Medicine (241 citations), Infectious Diseases (220 citations) and Genetics (336 citations). Devi Dayal has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Naresh Kumar Sachdeva, Probir Kumar Ghosh, Muralidharan Jayashree, Mahendra Kumar Mohanty, Kali Kinkar Bandyopadhyay, Savita Verma Attri, Deepesh Machiwal, Amit Kumar Rawat, Karthi Nallasamy and Sanjay Kumar. Their work appears in journals such as The Journal of Laryngology & Otology, Acta Paediatrica, Journal of Young Pharmacists, Pediatric Diabetes and The Pediatric Infectious Disease Journal.

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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