William G. Dail

2.2k total citations · 1 hit paper
39 papers, 1.8k citations indexed

About

William G. Dail is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Urology. According to data from OpenAlex, William G. Dail has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Psychiatry and Mental health and 10 papers in Urology. Recurrent topics in William G. Dail's work include Sexual function and dysfunction studies (11 papers), Urinary Bladder and Prostate Research (10 papers) and Neuropeptides and Animal Physiology (9 papers). William G. Dail is often cited by papers focused on Sexual function and dysfunction studies (11 papers), Urinary Bladder and Prostate Research (10 papers) and Neuropeptides and Animal Physiology (9 papers). William G. Dail collaborates with scholars based in United States. William G. Dail's co-authors include Michael G. Boyeson, Dennis M. Feeney, Heather Murray, Richard T. Linn, Andrew P. Evan, C. Harvey Palmer, Alan K. Davis, Kirk P. Conrad, Paul G. McGuire and Gene C. Palmer and has published in prestigious journals such as Brain Research, The FASEB Journal and The Journal of Urology.

In The Last Decade

William G. Dail

39 papers receiving 1.8k citations

Hit Papers

Responses to cortical injury: I. Methodology and local ef... 1981 2026 1996 2011 1981 200 400 600

Peers

William G. Dail
Comparison fields: 5 of 102
  • Molecular Biology 504
  • Neurology 441
  • Cellular and Molecular Neuroscience 424
  • Physiology 353
  • Psychiatry and Mental health 308
Replace Edith Reske‐Nielsen with:
Edith Reske‐Nielsen Denmark
David A. Gelber United States
Guo‐Fang Tseng Taiwan
Isao Araki Japan
Paulo Correia‐de‐Sá Portugal
James R. Goss United States
Kristian Winge Denmark
R. Crowe United Kingdom
Marco Rizzo United States
Phillip Jobling Australia
Edith Reske‐Nielsen Denmark View profile →
Citations per field, relative to William G. Dail
William G. Dail · 1×
Citations per year, relative to William G. Dail
William G. Dail · 1×

Countries citing papers authored by William G. Dail

Since Specialization
Citations

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

Fields of papers citing papers by William G. Dail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Dail. 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 William G. Dail. The network helps show where William G. Dail may publish in the future.

Co-authorship network of co-authors of William G. Dail

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Dail. A scholar is included among the top collaborators of William G. Dail 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 William G. Dail. William G. Dail 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
# Work Indexed citations
1 14
2 13
3 17
4 57
5 5
6 22
7 21
8 10
9 27
10 23
11 29
12 54
13 75
14 8
15 73
16 12
17 27
18 18
19 8
20 1

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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