S. Parvez

828 citations
56 papers · 665 · h-index 11

Impact in

Papers in

S. Parvez

46 papers receiving 626 citations

Peers

S. Parvez
Comparison fields: 5 of 97
  • Behavioral Neuroscience 81
  • Cellular and Molecular Neuroscience 151
  • Biological Psychiatry 17
  • Biochemistry 38
  • Endocrinology, Diabetes and Metabolism 81
Replace Marilyn E. Hess with:
Marilyn E. Hess United States
Heinrich Langemann Switzerland
Alan C. Levy Israel
M. Kent Shellenberger United States
Carlos A.A. Penatti United States
Béatrice Georges France
Hubert C. Stanton United States
Kalina M. Venkova United States
Paul E. Langley United States
Mona M. McConnaughey United States
S. Parvez relative to Marilyn E. Hess United States Marilyn E. Hess's profile →
Citations per field
00.5×1.5×2.2×
Marilyn E. Hess · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198894
2 200080
3 200657
4 197353
5 197353
6 197337
7 197535
8 197228
9 197820
10 199816
11 197612
12 200011
13 197311
14 200511
15 197410
16 197210
17 19769
18 19729
19
Antihypertensive drugs today
19928
20 19738

About S. Parvez

S. Parvez is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Physiology, Animal Science and Zoology and Pediatrics, Perinatology and Child Health, having authored 56 papers that have together received 665 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), Electrolyte and hormonal disorders (4 papers), Adipose Tissue and Metabolism (4 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Behavioral Neuroscience (81 citations), Cellular and Molecular Neuroscience (151 citations), Biological Psychiatry (17 citations), Biochemistry (38 citations) and Endocrinology, Diabetes and Metabolism (81 citations). S. Parvez has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include Hasan S. Parvez, G. Ali Qureshi, Moussa B. H. Youdim, Simone Parvez, M Minami, Tetsuya Endo, Mitsuhiro Yoshioka, Takashi Ogawa, Masahiko Hirafuji 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.

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