S. Parvez

823 citations
52 papers · 639 indexed · h-index 12

Impact in

Papers in

S. Parvez

49 papers receiving 617 citations

Peers

S. Parvez
Comparison fields: 5 of 94
  • Behavioral Neuroscience 77
  • Cellular and Molecular Neuroscience 146
  • Biological Psychiatry 16
  • Endocrine and Autonomic Systems 37
  • Endocrinology, Diabetes and Metabolism 83
Replace Leonard G. Davis with:
Leonard G. Davis United States
T. L. B. Spriggs United Kingdom
Yukio Kawakita Japan
Marilyn E. Hess United States
M.K. Shellenberger United States
P Joanny France
A. Lévy Israel
B. G. Benfey Canada
David Heron Israel
Mona M. McConnaughey United States
S. Parvez relative to Leonard G. Davis United States Leonard G. Davis's profile →
Citations per field
00.5×3.4×
Leonard G. Davis · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198888
2 200073
3 200654
4 197352
5 197347
6 197534
7 197333
8 197224
9 197818
10 197417
11 199813
12 200011
13 197311
14 200511
15 197210
16 197610
17 197410
18 19769
19 19738
20 19788

About S. Parvez

S. Parvez is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Animal Science and Zoology and Pediatrics, Perinatology and Child Health, having authored 52 papers that have together received 639 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), Adrenal Hormones and Disorders (5 papers), Metabolism and Genetic Disorders (5 papers), Electrolyte and hormonal disorders (4 papers), Hormonal and reproductive studies (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Behavioral Neuroscience (77 citations), Cellular and Molecular Neuroscience (146 citations), Biological Psychiatry (16 citations), Endocrine and Autonomic Systems (37 citations) and Endocrinology, Diabetes and Metabolism (83 citations). S. Parvez has collaborated with scholars based in France, Israel and Pakistan. Frequent co-authors include H. Parvez, Moussa B. H. Youdim, G. Ali Qureshi, Simone Parvez, M Minami, D. Gripois, Takashi Ogawa, Masahiro Nemoto, Tetsuya Endo and Hiroshi Saito. Their work appears in journals such as British Journal of Pharmacology, Journal of Neural Transmission, Hormone and Metabolic Research, Toxicology 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026