Stephen A. Goutman

6.9k citations
73 papers · 2.6k indexed · 2 hit papers · h-index 25
Topics
Amyotrophic Lateral Sclerosis Research (64 papers)Neurogenetic and Muscular Disorders Research (29 papers)Prion Diseases and Protein Misfolding (12 papers)
Journals
The LancetNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Stephen A. Goutman

68 papers receiving 2.6k citations

Hit Papers

Amyotrophic lateral sclerosis202220262023202420222022100200300400500

Peers

Stephen A. Goutman
Comparison fields: 5 of 132
  • Neurology 1.7k
  • Genetics 894
  • Molecular Biology 829
  • Neurology 447
  • Physiology 398
Replace Diane B. Ré with:
Diane B. Ré United States
Rup Tandan United States
Brigitte van Zundert Chile
Stacey A. Sakowski United States
Patrick Weydt Germany
José‐Luis González de Aguilar France
Kuen‐Jer Tsai Taiwan
Eric K. Hoffman United States
Michel Dib France
Ole Gredal Denmark
Stephen A. Goutman relative to Diane B. Ré United States Diane B. Ré's profile →
Citations per field
00.5×4.0×
Diane B. Ré · 1×
Citations per year

Countries citing papers authored by Stephen A. Goutman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Goutman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen A. Goutman

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Goutman. A scholar is included among the top collaborators of Stephen A. Goutman 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 Stephen A. Goutman. Stephen A. Goutman 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 1
2 1
3 5
4 0
5 0
6 3
7 0
8 26
9 16
10 2
11 6
12 0
13 18
14 3
15
Amyotrophic lateral sclerosisbreakdown →
544
16 57
17 38
18
ALS Specific Quality of Life- Short Form (ALSSQOL-SF): A Brief, Reliable and Valid Version of the ALSSQOL-R
2
19 17
20 17

About Stephen A. Goutman

Stephen A. Goutman is a scholar working on Neurology, Genetics and Neurology, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (64 papers), Neurogenetic and Muscular Disorders Research (29 papers) and Prion Diseases and Protein Misfolding (12 papers). The work is most often cited by research in Neurology (1.7k citations), Genetics (894 citations) and Neurology (447 citations). Stephen A. Goutman has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Eva L. Feldman, Masha G. Savelieff, Brian C. Callaghan, Susanne Petri, Letizia Mazzini, Gen Sobue, Pamela J. Shaw, Stacey A. Sakowski, Amanda Peltier and Claudia Figueroa‐Romero. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

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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