Lalit Kumar Meher

21 papers receiving 233 citations

Peers

Lalit Kumar Meher
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 75
  • Dermatology 30
  • Periodontics 15
  • Gastroenterology 12
  • Pathology and Forensic Medicine 30
Replace Siva Krishna Kota with:
Siva Krishna Kota India
Sladjana Todorovic Serbia
A S Kashyap India
Michael Wolf Austria
Shinichi Hitsumoto Japan
Reinhard Santen Germany
Henda Bouali United States
Abdelrahman M Radaideh Jordan
Mohammad Sheikh‐Ahmad Israel
Agnese Allora Italy
Lalit Kumar Meher relative to Siva Krishna Kota India Siva Krishna Kota's profile →
Citations per field
00.5×1.5×
Siva Krishna Kota · 1×
Citations per year

Countries citing papers authored by Lalit Kumar Meher

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Kumar Meher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Lalit Kumar Meher, 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 Lalit Kumar Meher Line = papers co-authored together Lalit Kumar Meher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201243
2 201234
3 201333
4 201231
5 201319
6 201314
7 201411
8 201211
9 20128
10 20127
11 20126
12 20165
13 20134
14 20134
15 20123
16 20123
17 20203
18 20122
19 20131
20 20221

About Lalit Kumar Meher

Lalit Kumar Meher is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Pathology and Forensic Medicine and Nutrition and Dietetics, having authored 22 papers that have together received 244 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Vitamin D Research Studies (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Diabetes and associated disorders (2 papers), Blood Pressure and Hypertension Studies (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (75 citations), Dermatology (30 citations), Periodontics (15 citations), Gastroenterology (12 citations) and Pathology and Forensic Medicine (30 citations). Lalit Kumar Meher has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Sunil Kumar Kota, Siva Krishna Kota, Sruti Jammula, Kirtikumar D Modi, S. V. S. Krishna, Sanjib Kumar Panda, Manas Kumar Behera, Ayaskanta Singh, Girish Kumar Pati and Manoj Kumar Sahu. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Journal of Cardiovascular Disease Research, Indian Journal of Orthopaedics, Journal of Clinical and Experimental Hepatology and Journal of Pediatric Endocrinology and Metabolism.

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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