Keasley Welch

4.0k citations
67 papers · 3.4k · h-index 31

Impact in

Papers in

Keasley Welch

65 papers receiving 2.8k citations

Peers

Keasley Welch
Comparison fields: 5 of 122
  • Neurology 915
  • Cellular and Molecular Neuroscience 1.2k
  • Pediatrics, Perinatology and Child Health 597
  • Neurology 252
  • Endocrinology, Diabetes and Metabolism 432
Replace Gordon V. Watters with:
Gordon V. Watters Canada
F.J.M. Gabreëls Netherlands
Lyle A. French United States
F. Gjerris Denmark
Rudolf Korinthenberg Germany
Umberto DeGirolami United States
N. Paul Rosman United States
Kiyoshi Sato Japan
Michael Pollay United States
Thomas H. Milhorat United States
Keasley Welch relative to Gordon V. Watters Canada Gordon V. Watters's profile →
Citations per field
00.5×5.6×
Gordon V. Watters · 1×
Citations per year

Countries citing papers authored by Keasley Welch

Since Specialization
Citations

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

Fields of papers citing papers by Keasley Welch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physiology and Pathophysiology of the Cerebrospinal Fluid
1987320
2 1960278
3 1963194
4 1990187
5 1958185
6 1983149
7 1980137
8 1981134
9 1971128
10 1961115
11 197498
12 199788
13 196387
14 196282
15 195682
16 198569
17 198359
18 198158
19 197458
20 197157

About Keasley Welch

Keasley Welch is a scholar working on Cellular and Molecular Neuroscience, Neurology, Pediatrics, Perinatology and Child Health, Epidemiology and Surgery, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (21 papers), Fetal and Pediatric Neurological Disorders (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Neonatal and fetal brain pathology (7 papers), Glioma Diagnosis and Treatment (7 papers), Neuroscience of respiration and sleep (6 papers), Spinal Dysraphism and Malformations (6 papers) and Pituitary Gland Disorders and Treatments (5 papers). The work is most often cited by research in Neurology (915 citations), Cellular and Molecular Neuroscience (1.2k citations), Pediatrics, Perinatology and Child Health (597 citations), Neurology (252 citations) and Endocrinology, Diabetes and Metabolism (432 citations). Keasley Welch has collaborated with scholars based in United States and Iran. Frequent co-authors include Hugh Davson, Edwin G. Fischer, Ken R. Winston, Michael Pollay, M. B. Segal, Roy D. Strand, Howard M. Eisenberg, James E. McLennan, John Shillito and James A. Belli. Their work appears in journals such as Journal of neurosurgery, Developmental Medicine & Child Neurology, Brain Research, American Journal of Physiology-Legacy Content and Neurology.

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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