Mark Perelis

15 papers receiving 743 citations

Mark Perelis's Hit Papers

Pancreatic β cell enhancers regulate rhythmic transcription of genes controlling insulin secretion 2015 · 310 citations
3100+3+7Years since publication100200300

Peers

Mark Perelis
Comparison fields: 5 of 60
  • Endocrine and Autonomic Systems 283
  • Surgery 158
  • Aging 5
  • Molecular Biology 182
  • Epidemiology 57
Replace Amanda L. Allred with:
Amanda L. Allred United States
Masayuki Hatanaka Japan
Kailun Lee Australia
Sung Kook Chun United States
Hidenori Shirai Japan
Nandita Mehta Canada
Yongheng Cao Japan
Roberta Avallone Italy
Vanja Pekovic‐Vaughan United Kingdom
Shaunak Deota United States
Mark Perelis relative to Amanda L. Allred United States Amanda L. Allred's profile →
Citations per field
00.5×2×3×3.7×
Amanda L. Allred · 1×
Citations per year

Countries citing papers authored by Mark Perelis

Since Specialization
Citations

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

Fields of papers citing papers by Mark Perelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Perelis. 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 Mark Perelis. The network helps show where Mark Perelis may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Perelis, 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 Mark Perelis Line = papers co-authored together Mark Perelis links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Pancreatic β cell enhancers regulate rhythmic transcription of genes controlling insulin secretion
Hit paper breakdown →
2015310
2 2021146
3 201755
4 201645
5 202235
6 201530
7 201528
8 202523
9 201922
10 202422
11 202419
12 20255
13 20255
14 20151
15 20251
16 20250
17 20260

About Mark Perelis

Mark Perelis is a scholar working on Endocrine and Autonomic Systems, Epidemiology, Surgery, Molecular Biology and Plant Science, having authored 17 papers that have together received 747 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Pancreatic function and diabetes (4 papers), RNA Research and Splicing (3 papers), Light effects on plants (1 paper), Mitochondrial Function and Pathology (1 paper), Single-cell and spatial transcriptomics (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (283 citations), Surgery (158 citations), Aging (5 citations), Molecular Biology (182 citations) and Epidemiology (57 citations). Mark Perelis has collaborated with scholars based in United States, Japan and Finland. Frequent co-authors include Joseph T. Bass, Kathryn Moynihan Ramsey, Biliana Marcheva, Clara Bien Peek, Chiaki Omura, Aaron R. Dinner, Amanda L. Allred, Alan L. Hutchison, Akihiko Taguchi and Christopher A. Bradfield. Their work appears in journals such as Cell Metabolism, Journal of Biological Rhythms, Methods in enzymology on CD-ROM/Methods in enzymology, Current Biology and Science.

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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