Shadab A. Rahman

54 papers receiving 1.3k citations

Peers

Shadab A. Rahman
Comparison fields: 5 of 116
  • Endocrine and Autonomic Systems 893
  • Experimental and Cognitive Psychology 551
  • Cognitive Neuroscience 316
  • Global and Planetary Change 310
  • Physiology 295
Replace Melissa A. St. Hilaire with:
Melissa A. St. Hilaire United States
Konstantin V. Danilenko Russia
Edward J. Silva United States
Corrado Garbazza Switzerland
Mark R. Smith United States
Melanie Rüger United States
Thomas Rusterholz Switzerland
Bryan L. Myers United States
Erin E. Flynn‐Evans United States
Rod J. Hughes United States
Shadab A. Rahman relative to Melissa A. St. Hilaire United States Melissa A. St. Hilaire's profile →
Citations per field
00.5×
Melissa A. St. Hilaire · 1×
Citations per year

Countries citing papers authored by Shadab A. Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Shadab A. Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadab A. Rahman

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 17
5 2
6 3
7 13
8 12
9 18
10 22
11 10
12 40
13 6
14 18
15 44
16 98
17 68
18 67
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20 31

About Shadab A. Rahman

Shadab A. Rahman is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Physiology, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (44 papers), Sleep and related disorders (15 papers) and Sleep and Work-Related Fatigue (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (893 citations), Experimental and Cognitive Psychology (551 citations) and Cognitive Neuroscience (316 citations). Shadab A. Rahman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Steven W. Lockley, Charles A. Czeisler, Melissa A. St. Hilaire, Leonid Kayumov, George C. Brainard, Colin M. Shapiro, Leilah K Grant, Robert F. Casper, Colin M. Shapiro and Daniel Aeschbach. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

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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