Michael A. Schwarzschild

24.6k citations
235 papers · 17.3k indexed · 2 hit papers · h-index 72
Topics
Parkinson's Disease Mechanisms and Treatments (121 papers)Adenosine and Purinergic Signaling (66 papers)Neurological disorders and treatments (24 papers)
Partner nations
United StatesChinaItaly

In The Last Decade

Michael A. Schwarzschild

225 papers receiving 17.1k citations

Hit Papers

The epidemiology of Parkinson's disease: risk factors and...2016202620192022201620224008001.2k

Peers

Michael A. Schwarzschild
Comparison fields: 5 of 163
  • Neurology 7.6k
  • Cellular and Molecular Neuroscience 5.1k
  • Molecular Biology 4.5k
  • Physiology 4.4k
  • Neurology 2.8k
Replace Diogo O. Souza with:
Diogo O. Souza Brazil
Gang Hu China
Anthony H.V. Schapira United Kingdom
Andrey Y. Abramov United Kingdom
Catarina R. Oliveira Portugal
Étienne C. Hirsch France
Roger P. Simon United States
Emanuela Esposito Italy
Kazuhide Inoue Japan
Lars Edvinsson Sweden
Michael A. Schwarzschild relative to Diogo O. Souza Brazil Diogo O. Souza's profile →
Citations per field
00.5×5.4×
Diogo O. Souza · 1×
Citations per year

Countries citing papers authored by Michael A. Schwarzschild

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Schwarzschild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Schwarzschild

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Schwarzschild. A scholar is included among the top collaborators of Michael A. Schwarzschild 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 Michael A. Schwarzschild. Michael A. Schwarzschild 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 2
2 0
3 5
4 2
5 16
6 12
7 30
8 4
9 7
10 5
11 23
12 34
13 1
14 59
15 0
16 156
17 194
18 2
19 43
20 144

About Michael A. Schwarzschild

Michael A. Schwarzschild is a scholar working on Physiology, Neurology and Nephrology, having authored 235 papers that have together received 17.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (121 papers), Adenosine and Purinergic Signaling (66 papers) and Neurological disorders and treatments (24 papers). The work is most often cited by research in Physiology (4.4k citations), Neurology (7.6k citations) and Neurology (2.8k citations). Michael A. Schwarzschild has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Alberto Ascherio, Jiang‐Fan Chen, Alberto Ascherio, Honglei Chen, Xiang Gao, Kui Xu, J. Stephen Fink, Yuehang Xu, Marc G. Weisskopf and David G. Standaert. Their work appears in journals such as New England Journal of Medicine, 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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