Scott Sayers

757 citations
30 papers · 592 · h-index 12

Impact in

Papers in

Scott Sayers

27 papers receiving 585 citations

Peers

Scott Sayers
Comparison fields: 5 of 75
  • Developmental Neuroscience 33
  • Cellular and Molecular Neuroscience 117
  • Immunology 104
  • Pathology and Forensic Medicine 71
  • Cancer Research 53
Replace Manfred Lange with:
Manfred Lange Germany
Charles Szekeres United States
Yong Gu Chung South Korea
Jianying Xi China
Qing-jun Zhang China
Melissa Passino United States
Shoana L. Sikorski United States
Federico Colombo Italy
Marie‐Lune Simard Germany
Kenichiro Morishige Japan
Scott Sayers relative to Manfred Lange Germany Manfred Lange's profile →
Citations per field
00.5×6.3×
Manfred Lange · 1×
Citations per year

Countries citing papers authored by Scott Sayers

Since Specialization
Citations

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

Fields of papers citing papers by Scott Sayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott Sayers, 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 Scott Sayers Line = papers co-authored together Scott Sayers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009144
2 201159
3 201648
4
Animal models of spinal cord contusion injuries.
199945
5 199143
6 201334
7 200731
8 201326
9 200825
10 200423
11 199821
12 199413
13 198311
14 201010
15 19909
16 20187
17 19917
18 19837
19 19946
20 19955

About Scott Sayers

Scott Sayers is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 592 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Spinal Cord Injury Research (5 papers), Nerve injury and regeneration (4 papers), Adipose Tissue and Metabolism (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Ophthalmology and Visual Impairment Studies (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Developmental Neuroscience (33 citations), Cellular and Molecular Neuroscience (117 citations), Immunology (104 citations), Pathology and Forensic Medicine (71 citations) and Cancer Research (53 citations). Scott Sayers has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Talat Khan, Carrie L. Welch, Alan R. Tall, Minako Ishibashi, Yu Sun, Dieter Brömme, Robert M. Havey, Jeanine D’Armiento, William King and Avinash G. Patwardhan. Their work appears in journals such as Journal of Neurotrauma, Brain Research, Arteriosclerosis Thrombosis and Vascular Biology, Neurochemical Research and JAMA Ophthalmology.

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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