Sumedha Garg

2.5k citations
10 papers · 520 · h-index 9

Impact in

Papers in

Sumedha Garg

10 papers receiving 511 citations

Peers

Sumedha Garg
Comparison fields: 5 of 56
  • Endocrine and Autonomic Systems 101
  • Endocrinology, Diabetes and Metabolism 168
  • Genetics 139
  • Surgery 145
  • Physiology 60
Replace Daniel H. Moralejo with:
Daniel H. Moralejo Japan
Yuichiro Munakata Japan
Ericka Barbosa Trarbach Brazil
Masahito Katahira Japan
Kristen R. Vella United States
Marianna Tyczewska Poland
Y.C. Loraine Tung United Kingdom
Zhiguo Tang China
Yow‐Jiun Jeng United States
Doreen Zegers Belgium
Sumedha Garg relative to Daniel H. Moralejo Japan Daniel H. Moralejo's profile →
Citations per field
00.5×4.4×
Daniel H. Moralejo · 1×
Citations per year

Countries citing papers authored by Sumedha Garg

Since Specialization
Citations

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

Fields of papers citing papers by Sumedha Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2013221
2 201592
3 201352
4 201434
5 201632
6 201528
7
Role of pineal in the regulation of some aspects of circadian rhythmicity in the catfish, Heteropneustes fossilis (Bloch).
198628
8 201718
9 201714
10 20201

About Sumedha Garg

Sumedha Garg is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 10 papers that have together received 520 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Renin-Angiotensin System Studies (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Estrogen and related hormone effects (1 paper), Ion Transport and Channel Regulation (1 paper), Mitochondrial Function and Pathology (1 paper), Retinal Development and Disorders (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (101 citations), Endocrinology, Diabetes and Metabolism (168 citations), Genetics (139 citations), Surgery (145 citations) and Physiology (60 citations). Sumedha Garg has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent co-authors include I. Sadaf Farooqi, Julia M. Keogh, Inês Barroso, Elana Henning, Elena G. Bochukova, Stephen O’Rahilly, Junhua Zhou, Morris J. Brown, Hannah Blackburn and Sarah Lindsay. Their work appears in journals such as Hypertension, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Nature Genetics and New England Journal of 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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