Scott Walter

48 papers receiving 804 citations

Peers

Scott Walter
Comparison fields: 5 of 137
  • Gastroenterology 119
  • Otorhinolaryngology 77
  • Theoretical Computer Science 18
  • Library and Information Sciences 16
  • Oncology 221
Replace Yanli Wang with:
Yanli Wang China
Haihong Zhou China
Sakari Joenväärä Finland
John Hoffman United States
Yuan Lin United States
Xiaoyun Li China
Kazuhiko Mori Japan
Zhipeng Li China
Cheryl L. Thompson United States
Shengnan Chen China
Scott Walter relative to Yanli Wang China Yanli Wang's profile →
Citations per field
00.5×10×15×20×23.8×
Yanli Wang · 1×
Citations per year

Countries citing papers authored by Scott Walter

Since Specialization
Citations

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

Fields of papers citing papers by Scott Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201389
2 200165
3 199562
4 200562
5 199852
6 200052
7 200046
8 199046
9 201342
10 199133
11 199126
12 200026
13 200621
14 201718
15
p202 levels are negatively regulated by serum growth factors.
200018
16 200017
17 199616
18 199816
19 199314
20 200614

About Scott Walter

Scott Walter is a scholar working on Molecular Biology, Oncology, Theoretical Computer Science, Astronomy and Astrophysics and History and Philosophy of Science, having authored 59 papers that have together received 830 indexed citations. Recurring topics across this work include History and Theory of Mathematics (11 papers), Cancer-related Molecular Pathways (7 papers), Relativity and Gravitational Theory (7 papers), History and Developments in Astronomy (5 papers), Gastrointestinal motility and disorders (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Gastroenterology (119 citations), Otorhinolaryngology (77 citations), Theoretical Computer Science (18 citations), Library and Information Sciences (16 citations) and Oncology (221 citations). Scott Walter has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Andrew Vaughan, Xin Hong, Sanjay D’Souza, Ashwatha Narayana, Vinay Choubey, Sarada P. Reddy, Satinder Kathuria, M. Ulmschneider, Pascal Chalus and Yves Roggo. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Neurogastroenterology & Motility, British Journal of Educational Studies, Journal of Biological Chemistry and Gynecologic Oncology.

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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