JM Siegel

919 total citations
7 papers, 605 citations indexed

About

JM Siegel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, JM Siegel has authored 7 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in JM Siegel's work include Sleep and Wakefulness Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neuroscience of respiration and sleep (3 papers). JM Siegel is often cited by papers focused on Sleep and Wakefulness Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neuroscience of respiration and sleep (3 papers). JM Siegel collaborates with scholars based in United States. JM Siegel's co-authors include Emmanuel Mignot, M. S. Reid, Seiji Nishino, Dement Wc, Mehdi Tafti, Janis Arrigoni, H. Fahringer, R. Nienhuis, Robert B. Lufkin and Charles Y. Chiu and has published in prestigious journals such as Journal of Neuroscience and PubMed.

In The Last Decade

JM Siegel

7 papers receiving 589 citations

Peers

JM Siegel
Comparison fields: 5 of 62
  • Cognitive Neuroscience 475
  • Endocrine and Autonomic Systems 283
  • Cellular and Molecular Neuroscience 241
  • Experimental and Cognitive Psychology 179
  • Neurology 103
Replace Yuan‐Yang Lai with:
Yuan‐Yang Lai United States
F.R. Morales United States
J.P. Sastre France
Jean‐Pierre Sastre France
F Laffont France
Jonathan D. Kenny United States
Peter J. Soja Canada
R. Massetani Italy
Lyudmila I. Kiyashchenko Russia
Ming-Chu Xi United States
Yuan‐Yang Lai United States View profile →
Citations per field, relative to JM Siegel
JM Siegel · 1×
Citations per year, relative to JM Siegel
JM Siegel · 1×

Countries citing papers authored by JM Siegel

Since Specialization
Citations

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

Fields of papers citing papers by JM Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JM Siegel

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

All Works

7 of 7 papers shown
# Work Indexed citations
1
Numerical study of squeeze-flow in tilting disc mechanical heart valves.
19
2 73
3 51
4 37
5 99
6 140
7 186

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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