Eric E. Sabelman

14 papers receiving 652 citations

Peers

Eric E. Sabelman
Comparison fields: 5 of 105
  • Human-Computer Interaction 87
  • Rehabilitation 82
  • Cellular and Molecular Neuroscience 189
  • Biomaterials 117
  • Developmental Neuroscience 24
Replace Cho Hyun-Chul with:
Cho Hyun-Chul South Korea
William Craelius United States
Stacie Chvatal United States
Qihong Wang China
Michael Wininger United States
Nam Gyun Kim South Korea
Goran Bijelić Serbia
Lee E. Fisher United States
Shih-Chen Fan Taiwan
Xingchen Yang China
Eric E. Sabelman relative to Cho Hyun-Chul South Korea Cho Hyun-Chul's profile →
Citations per field
00.5×2.7×
Cho Hyun-Chul · 1×
Citations per year

Countries citing papers authored by Eric E. Sabelman

Since Specialization
Citations

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

Fields of papers citing papers by Eric E. Sabelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric E. Sabelman. 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 Eric E. Sabelman. The network helps show where Eric E. Sabelman may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric E. Sabelman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric E. Sabelman Line = papers co-authored together Eric E. Sabelman links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
A new rat model simulating some aspects of space flight.
1979152
2 199097
3 200685
4 199079
5 200355
6 201552
7 200048
8 199346
9 199922
10 201618
11 199313
12 20198
13 20132
14 20101
15 20191

About Eric E. Sabelman

Eric E. Sabelman is a scholar working on Surgery, Cellular and Molecular Neuroscience, Biomaterials, Neurology and Cell Biology, having authored 15 papers that have together received 679 indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Neurological disorders and treatments (3 papers), Nerve Injury and Rehabilitation (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Transcranial Magnetic Stimulation Studies (2 papers), Silk-based biomaterials and applications (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Human-Computer Interaction (87 citations), Rehabilitation (82 citations), Cellular and Molecular Neuroscience (189 citations), Biomaterials (117 citations) and Developmental Neuroscience (24 citations). Eric E. Sabelman has collaborated with scholars based in United States and Japan. Frequent co-authors include E. R. Morey, David J. Baylink, Joseph M. Rosen, Vincent R. Hentz, Min Hu, Khôi Nguyen, Stacey F. Bent, Harvey A. Fishman, Miguel A. Padilla and John Drace. Their work appears in journals such as Restorative Neurology and Neuroscience, Journal of Reconstructive Microsurgery, Operative Neurosurgery, Annals of Plastic Surgery and Biomaterials.

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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