Mohammed A. Nayeem

104 total papers · 1.1k total citations
54 papers, 946 citations indexed

About

Mohammed A. Nayeem is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Mohammed A. Nayeem has authored 54 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biochemistry, 23 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Pathology and Forensic Medicine. Recurrent topics in Mohammed A. Nayeem's work include Eicosanoids and Hypertension Pharmacology (28 papers), Hormonal Regulation and Hypertension (22 papers) and Nitric Oxide and Endothelin Effects (19 papers). Mohammed A. Nayeem is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (28 papers), Hormonal Regulation and Hypertension (22 papers) and Nitric Oxide and Endothelin Effects (19 papers). Mohammed A. Nayeem collaborates with scholars based in United States, Belgium and India. Mohammed A. Nayeem's co-authors include S. Jamal Mustafa, Darryl C. Zeldin, Rakesh C. Kukreja, John R. Falck, Dovenia S. Ponnoth, Christophe Morisseau, Yongzhen Qian, Catherine Ledent, Ahmad Hanif and Jeffrey B. Hoag and has published in prestigious journals such as PLoS ONE, The FASEB Journal and British Journal of Pharmacology.

In The Last Decade

Mohammed A. Nayeem

51 papers receiving 932 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohammed A. Nayeem 371 283 273 258 237 54 946
Jinghui Dong 201 0.5× 202 0.7× 56 0.2× 322 1.2× 272 1.1× 33 1.2k
Victor Saldivia 66 0.2× 193 0.7× 157 0.6× 197 0.8× 94 0.4× 31 1.2k
Abdelaziz M. Hussein 64 0.2× 155 0.5× 157 0.6× 383 1.5× 148 0.6× 82 1.2k
Manoj Gandhi 43 0.1× 316 1.1× 140 0.5× 457 1.8× 193 0.8× 34 1.1k
Chin‐Chen Wu 231 0.6× 132 0.5× 116 0.4× 410 1.6× 498 2.1× 29 1.2k
J. C. Stoclet 146 0.4× 76 0.3× 80 0.3× 280 1.1× 437 1.8× 31 998
R Sotníková 99 0.3× 96 0.3× 153 0.6× 274 1.1× 244 1.0× 73 960
Bert Vanheel 200 0.5× 130 0.5× 107 0.4× 403 1.6× 505 2.1× 42 1.1k
Gerald Wölkart 145 0.4× 126 0.4× 90 0.3× 258 1.0× 383 1.6× 40 957
A.I. Ally 137 0.4× 57 0.2× 72 0.3× 307 1.2× 184 0.8× 43 979

Countries citing papers authored by Mohammed A. Nayeem

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed A. Nayeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed A. Nayeem. 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 Mohammed A. Nayeem. The network helps show where Mohammed A. Nayeem may publish in the future.

Co-authorship network of co-authors of Mohammed A. Nayeem

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed A. Nayeem. A scholar is included among the top collaborators of Mohammed A. Nayeem 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 Mohammed A. Nayeem. Mohammed A. Nayeem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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