Most. Nahid Parvin

413 total citations
15 papers, 362 citations indexed

About

Most. Nahid Parvin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Most. Nahid Parvin has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Genetics. Recurrent topics in Most. Nahid Parvin's work include Ion Transport and Channel Regulation (10 papers), Ion channel regulation and function (6 papers) and Hormonal Regulation and Hypertension (3 papers). Most. Nahid Parvin is often cited by papers focused on Ion Transport and Channel Regulation (10 papers), Ion channel regulation and function (6 papers) and Hormonal Regulation and Hypertension (3 papers). Most. Nahid Parvin collaborates with scholars based in Japan, United States and Indonesia. Most. Nahid Parvin's co-authors include Norio Kanamori, Kazuo Hosoi, Tetsuya Akamatsu, R Turner, Tudevdagva Gerelsaikhan, Chenjuan Yao, Jun Tada, Osamu Miki, Shingo Kurabuchi and Naoki Yamanaka and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Most. Nahid Parvin

15 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Most. Nahid Parvin Japan 12 297 83 72 63 38 15 362
Scott D. Auerbach United States 10 353 1.2× 148 1.8× 45 0.6× 36 0.6× 11 0.3× 12 531
Vincent Thoreau France 10 171 0.6× 124 1.5× 22 0.3× 42 0.7× 37 1.0× 18 328
Andrew B. Fotia Australia 8 469 1.6× 35 0.4× 36 0.5× 31 0.5× 89 2.3× 10 551
Bradley W. McDill United States 7 566 1.9× 217 2.6× 87 1.2× 55 0.9× 13 0.3× 8 636
Alejandro Mata‐Daboin United States 8 222 0.7× 85 1.0× 26 0.4× 194 3.1× 28 0.7× 10 353
Daisaku Takai Japan 11 336 1.1× 39 0.5× 61 0.8× 78 1.2× 23 0.6× 15 451
Yinchuan Li China 9 188 0.6× 96 1.2× 22 0.3× 37 0.6× 21 0.6× 17 349
Lisa A. Dunbar United States 7 279 0.9× 26 0.3× 77 1.1× 28 0.4× 25 0.7× 10 361
Weiwen Xie United States 6 237 0.8× 125 1.5× 30 0.4× 28 0.4× 50 1.3× 6 343
Mutsumi Koyama Japan 6 270 0.9× 28 0.3× 31 0.4× 72 1.1× 19 0.5× 10 406

Countries citing papers authored by Most. Nahid Parvin

Since Specialization
Citations

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

Fields of papers citing papers by Most. Nahid Parvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Most. Nahid Parvin. 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 Most. Nahid Parvin. The network helps show where Most. Nahid Parvin may publish in the future.

Co-authorship network of co-authors of Most. Nahid Parvin

This figure shows the co-authorship network connecting the top 25 collaborators of Most. Nahid Parvin. A scholar is included among the top collaborators of Most. Nahid Parvin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Most. Nahid Parvin. Most. Nahid Parvin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Parvin, Most. Nahid & R Turner. (2011). Identification of Key Residues Involved in the Dimerization of the Secretory Na+–K+–2Cl– Cotransporter NKCC1. Biochemistry. 50(45). 9857–9864. 12 indexed citations
2.
Parvin, Most. Nahid, et al.. (2009). A Conserved Hydrophobic Tetrad near the C Terminus of the Secretory Na+-K+-2Cl- Cotransporter (NKCC1) Is Required for Its Correct Intracellular Processing. Journal of Biological Chemistry. 284(11). 6869–6876. 29 indexed citations
3.
Parvin, Most. Nahid, Tudevdagva Gerelsaikhan, & R Turner. (2007). Regions in the Cytosolic C-Terminus of the Secretory Na+-K+-2Cl- Cotransporter NKCC1 Are Required for Its Homodimerization. Biochemistry. 46(33). 9630–9637. 37 indexed citations
4.
Gerelsaikhan, Tudevdagva, Most. Nahid Parvin, & R Turner. (2006). Biogenesis and Topology of the Secretory Na+−K+−2Cl- Cotransporter (NKCC1) Studied in Intact Mammalian Cells. Biochemistry. 45(39). 12060–12067. 14 indexed citations
5.
Li, Xuefei, Most. Nahid Parvin, Tetsuya Akamatsu, et al.. (2005). Downregulation of AQP2 expression in the kidney of polydipsic STR/N mice. American Journal of Physiology-Renal Physiology. 290(2). F478–F485. 6 indexed citations
6.
Parvin, Most. Nahid, Shingo Kurabuchi, Chenjuan Yao, et al.. (2005). Subcellular redistribution of AQP5 by vasoactive intestinal polypeptide in the Brunner's gland of the rat duodenum. American Journal of Physiology-Gastrointestinal and Liver Physiology. 288(6). G1283–G1291. 47 indexed citations
7.
Akamatsu, Tetsuya, Most. Nahid Parvin, Chenjuan Yao, et al.. (2003). Expression and localization of aquaporins, members of the water channel family, during development of the rat submandibular gland. Pflügers Archiv - European Journal of Physiology. 446(6). 641–651. 46 indexed citations
8.
Parvin, Most. Nahid, et al.. (2002). Expression and localization of AQP5 in the stomach and duodenum of the rat. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1542(1-3). 116–124. 49 indexed citations
9.
Miki, Osamu, Chenjuan Yao, Most. Nahid Parvin, et al.. (2002). Divergent expression and localization of aquaporin 5, an exocrine-type water channel, in the submandibular gland of Sprague-Dawley rats. Pflügers Archiv - European Journal of Physiology. 445(3). 405–412. 26 indexed citations
10.
Wei, Wei, Most. Nahid Parvin, Tetsuya Akamatsu, et al.. (2001). Induction of C-reactive protein, serum amyloid P component, and kininogens in the submandibular and lacrimal glands of rats with experimentally induced inflammation. Life Sciences. 69(3). 359–368. 21 indexed citations
11.
Hosoi, Kazuo, Sachiko Matsuura, Wenzhen Wei, et al.. (2000). Expression of kininogens in the connective tissue‐type mast cells of the rat. Immunology. 101(4). 531–540. 4 indexed citations
12.
Akamatsu, Tetsuya, Yoshiko Matsuda, Jun Tada, et al.. (2000). Highly Regulated Expression of Subtilisin-like Proprotein Convertase PACE4 (SPC4) during Dentinogenesis. Biochemical and Biophysical Research Communications. 272(2). 410–415. 16 indexed citations
13.
Tada, Jun, Naoki Yamanaka, Masayuki Shono, et al.. (1999). Involvement of Vesicle–Cytoskeleton Interaction in AQP5 Trafficking in AQP5-Gene-Transfected HSG Cells. Biochemical and Biophysical Research Communications. 266(2). 443–447. 41 indexed citations
14.
Akamatsu, Tetsuya, Yoshiko Matsuda, Jun Tada, et al.. (1999). Subtilisin‐like proprotein convertase PACE4 (SPC4) is a candidate processing enzyme of bone morphogenetic proteins during tooth formation. Developmental Dynamics. 216(45). 481–488. 1 indexed citations
15.
Akamatsu, Tetsuya, Yoshiko Matsuda, Jun Tada, et al.. (1999). Subtilisin-like proprotein convertase PACE4 (SPC4) is a candidate processing enzyme of bone morphogenetic proteins during tooth formation. Developmental Dynamics. 216(4/5). 481–488. 13 indexed citations

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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