Millet Treinin

3.3k citations
44 papers · 2.5k indexed · h-index 27
Topics
Genetics, Aging, and Longevity in Model Organisms (24 papers)Circadian rhythm and melatonin (15 papers)Nicotinic Acetylcholine Receptors Study (13 papers)

In The Last Decade

Millet Treinin

43 papers receiving 2.5k citations

Peers

Millet Treinin
Comparison fields: 5 of 118
  • Molecular Biology 1.4k
  • Aging 967
  • Cellular and Molecular Neuroscience 573
  • Endocrine and Autonomic Systems 539
  • Physiology 299
Replace Massimo A. Hilliard with:
Massimo A. Hilliard Australia
Navin Pokala United States
Jonathan T. Pierce United States
Joseph A. Dent Canada
Christopher V. Gabel United States
Scott W. Emmons United States
Jagan Srinivasan United States
Evan H. Feinberg United States
Paolo Bazzicalupo Italy
Peter J. Roy Canada
Millet Treinin relative to Massimo A. Hilliard Australia Massimo A. Hilliard's profile →
Citations per field
00.5×1.5×
Massimo A. Hilliard · 1×
Citations per year

Countries citing papers authored by Millet Treinin

Since Specialization
Citations

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

Fields of papers citing papers by Millet Treinin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Millet Treinin

This figure shows the co-authorship network connecting the top 25 collaborators of Millet Treinin. A scholar is included among the top collaborators of Millet Treinin 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 Millet Treinin. Millet Treinin 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 11
2 26
3 1
4 25
5 11
6 36
7 28
8 60
9 39
10 130
11 193
12 122
13 18
14 35
15 65
16 66
17 33
18 345
19 0
20 44

About Millet Treinin

Millet Treinin is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (24 papers), Circadian rhythm and melatonin (15 papers) and Nicotinic Acetylcholine Receptors Study (13 papers). The work is most often cited by research in Aging (967 citations), Endocrine and Autonomic Systems (539 citations) and Cellular and Molecular Neuroscience (573 citations). Millet Treinin has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Martin Chalfie, David M. Miller, Orgad Laub, David H. Hall, William R Schafer, Andrew Fire, Yosef Gruenbaum, Jun Liu, Marios Chatzigeorgiou and P. Spann. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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