William M. Connelly

1.2k total citations
24 papers, 827 citations indexed

About

William M. Connelly is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, William M. Connelly has authored 24 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 14 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in William M. Connelly's work include Neuroscience and Neuropharmacology Research (17 papers), Neural dynamics and brain function (13 papers) and Photoreceptor and optogenetics research (5 papers). William M. Connelly is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Neural dynamics and brain function (13 papers) and Photoreceptor and optogenetics research (5 papers). William M. Connelly collaborates with scholars based in United Kingdom, Australia and New Zealand. William M. Connelly's co-authors include Vincenzo Crunelli, Adam C. Errington, George Lees, Giuseppe Di Giovanni, Rob Leurs, Henry J. Waldvogel, Paul L. Chazot, Fiona C. Shenton, Richard L. M. Faull and Graham V. Lees and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

William M. Connelly

24 papers receiving 811 citations

Peers

William M. Connelly
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 415
  • Cognitive Neuroscience 338
  • Molecular Biology 249
  • Immunology 150
  • Sensory Systems 77
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Citations per field, relative to William M. Connelly
William M. Connelly · 1×
Citations per year, relative to William M. Connelly
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Countries citing papers authored by William M. Connelly

Since Specialization
Citations

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

Fields of papers citing papers by William M. Connelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. Connelly

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Connelly. A scholar is included among the top collaborators of William M. Connelly 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 M. Connelly. William M. Connelly 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 1
2 38
3 6
4 82
5 7
6 17
7 13
8 22
9 42
10 39
11 76
12 35
13 28
14 4
15 23
16 58
17 52
18 7
19 21
20 32

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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