Daniel J. MacGowan

3.3k citations
15 papers · 433 indexed · h-index 10
Topics
Botulinum Toxin and Related Neurological Disorders (3 papers)Amyotrophic Lateral Sclerosis Research (3 papers)Peripheral Neuropathies and Disorders (2 papers)
Partner nations
United StatesIreland

In The Last Decade

Daniel J. MacGowan

14 papers receiving 415 citations

Peers

Daniel J. MacGowan
Comparison fields: 5 of 57
  • Neurology 292
  • Genetics 119
  • Physiology 106
  • Molecular Biology 78
  • Neurology 55
Replace Michael Sirdofsky with:
Michael Sirdofsky United States
Reynaldo P. Lazaro United States
M. V. Padma Srivastava India
Jelena Ostojić Serbia
Murray Flaster United States
Wendong You China
Mário Emílio Teixeira Dourado Júnior Brazil
John J. Wald United States
François Ochsner Switzerland
Christian Lettieri Italy
Daniel J. MacGowan relative to Michael Sirdofsky United States Michael Sirdofsky's profile →
Citations per field
00.5×1.5×2.4×
Michael Sirdofsky · 1×
Citations per year

Countries citing papers authored by Daniel J. MacGowan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. MacGowan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. MacGowan. 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 Daniel J. MacGowan. The network helps show where Daniel J. MacGowan may publish in the future.

Co-authorship network of co-authors of Daniel J. MacGowan

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 10
3 14
4 1
5 59
6 1
7 31
8 11
9 56
10 34
11 81
12 4
13 110
14 1
15 16

About Daniel J. MacGowan

Daniel J. MacGowan is a scholar working on Neurology, Genetics and Dermatology, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Neurology (292 citations), Genetics (119 citations) and Neurology (55 citations). Daniel J. MacGowan has collaborated with scholars based in United States and Ireland. Frequent co-authors include Stephen N. Scelsa, Mary Ann Waldron, Chafic Karam, Ralph L. Sacco, W. Craig Clark, J. P. Mohr, Ralph N. Wharton, Ronald M. Lazar, Matthew J. Barrett and Penny Baron. Their work appears in journals such as Neurology, Journal of Clinical Pathology and Journal of the Neurological Sciences.

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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