S. Parvez

828 citations
53 papers · 613 · h-index 12

Impact in

Papers in

S. Parvez

44 papers receiving 593 citations

Peers

S. Parvez
Comparison fields: 5 of 94
  • Behavioral Neuroscience 71
  • Cellular and Molecular Neuroscience 139
  • Biological Psychiatry 15
  • Endocrine and Autonomic Systems 30
  • Endocrinology, Diabetes and Metabolism 73
Replace Yukio Kawakita with:
Yukio Kawakita Japan
Marilyn E. Hess United States
B. G. Benfey Canada
Tae-Cheon Kang South Korea
T. L. B. Spriggs United Kingdom
Carlos A.A. Penatti Brazil
Απόστολος Ζάρρος Greece
Seon H. Shin Canada
Béatrice Georges France
J. R. Dave United States
S. Parvez relative to Yukio Kawakita Japan Yukio Kawakita's profile →
Citations per field
00.5×10×13×
Yukio Kawakita · 1×
Citations per year

Countries citing papers authored by S. Parvez

Since Specialization
Citations

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

Fields of papers citing papers by S. Parvez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198888
2 200074
3 200655
4 197352
5 197347
6 197534
7 197333
8 197224
9 197819
10 199814
11 200011
12 197311
13 200511
14 197410
15 197210
16 197610
17 19769
18 19738
19 19738
20 19728

About S. Parvez

S. Parvez is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Pediatrics, Perinatology and Child Health and Behavioral Neuroscience, having authored 53 papers that have together received 613 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (15 papers), Stress Responses and Cortisol (9 papers), Birth, Development, and Health (6 papers), Metabolism and Genetic Disorders (5 papers), Adrenal Hormones and Disorders (5 papers), Hormonal and reproductive studies (4 papers), Adipose Tissue and Metabolism (4 papers) and Electrolyte and hormonal disorders (4 papers). The work is most often cited by research in Behavioral Neuroscience (71 citations), Cellular and Molecular Neuroscience (139 citations), Biological Psychiatry (15 citations), Endocrine and Autonomic Systems (30 citations) and Endocrinology, Diabetes and Metabolism (73 citations). S. Parvez has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include H. Parvez, Moussa B. H. Youdim, G. Ali Qureshi, M Minami, Simone Parvez, Hiroshi Saito, Mitsuhiro Yoshioka, Masahiko Hirafuji, Masahiro Nemoto and Tetsuya Endo. Their work appears in journals such as British Journal of Pharmacology, Hormone and Metabolic Research, Journal of Neural Transmission, Biochemical and Biophysical Research Communications and Cellular and Molecular Life Sciences.

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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