Simon Miller

15 papers receiving 849 citations

Peers

Simon Miller
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 162
  • Aging 32
  • Physiology 67
  • Genetics 129
  • Molecular Biology 472
Replace Cornelia Czupalla with:
Cornelia Czupalla Germany
Gil Bu Kang South Korea
Shujing Li China
Joseph F. Johnston United States
Hijai R. Shin United States
Christine Lavoie Canada
Hye Jin Nam South Korea
Tetsuo Yoshida Japan
Raymond D. Blind United States
Svetlana Earnest United States
Simon Miller relative to Cornelia Czupalla Germany Cornelia Czupalla's profile →
Citations per field
00.5×9.6×
Cornelia Czupalla · 1×
Citations per year

Countries citing papers authored by Simon Miller

Since Specialization
Citations

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

Fields of papers citing papers by Simon Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010231
2 2010215
3 201471
4 202061
5 201060
6 200955
7 202037
8 202133
9 202228
10 202027
11 202117
12
State Accountability for the Good Health of Palestinians Has Failed: What Can the Global Health Community Do Next?
20227
13 20156
14 19974
15 20223
16 20160

About Simon Miller

Simon Miller is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Plant Science, Cellular and Molecular Neuroscience and Genetics, having authored 16 papers that have together received 855 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (7 papers), Light effects on plants (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Photoreceptor and optogenetics research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Plant Molecular Biology Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and bioluminescence and chemiluminescence research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (162 citations), Aging (32 citations), Physiology (67 citations), Genetics (129 citations) and Molecular Biology (472 citations). Simon Miller has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Roger Williams, Arkadiusz Oleksy, Olga Perišić, Kevan M. Shokat, Benjamin T. Houseman, Tsuyoshi Hirota, Alex Berndt, Wai‐Ching Hon, Joseph I. Pacold and Yi Liu. Their work appears in journals such as Nature Chemical Biology, Proceedings of the National Academy of Sciences, Autophagy, Journal of the American Chemical Society and Biochemical Society Transactions.

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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