Marcia G. Welsh
- Cellular and Molecular Neuroscience
- Endocrine and Autonomic Systems top 5%
- Molecular Biology
- Sensory Systems top 5%
- Cognitive Neuroscience
- Co-authors
- Rüssel J. ReiterIvan L. CameronJames R. ColemanDavid G. CampbellWilliam A. CooperJohn A. MoyerMary K. VaughanAlvin J. Beitz
- Topics
- Circadian rhythm and melatonin (6 papers)Neurobiology and Insect Physiology Research (3 papers)Photoreceptor and optogenetics research (2 papers)
- Partner nations
- United StatesCameroon
In The Last Decade
Marcia G. Welsh
20 papers receiving 365 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 120
- Endocrine and Autonomic Systems 119
- Molecular Biology 97
- Sensory Systems 74
- Cognitive Neuroscience 72
Countries citing papers authored by Marcia G. Welsh
This map shows the geographic impact of Marcia G. Welsh'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 Marcia G. Welsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia G. Welsh more than expected).
Fields of papers citing papers by Marcia G. Welsh
This network shows the impact of papers produced by Marcia G. Welsh. 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 Marcia G. Welsh. The network helps show where Marcia G. Welsh may publish in the future.
Co-authorship network of co-authors of Marcia G. Welsh
This figure shows the co-authorship network connecting the top 25 collaborators of Marcia G. Welsh. A scholar is included among the top collaborators of Marcia G. Welsh 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 Marcia G. Welsh. Marcia G. Welsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | First year medical students' views on computer programs: "Give us teaching assistants" | 2 |
| 2 | 4 | |
| 3 | 91 | |
| 4 | Transplantation of the rodent pineal gland | 1 |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 15 | |
| 13 | 13 | |
| 14 | 24 | |
| 15 | 18 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 16 | |
| 19 | 62 | |
| 20 | 44 |
About Marcia G. Welsh
Marcia G. Welsh is a scholar working on Endocrine and Autonomic Systems, Neurology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 374 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), Neurobiology and Insect Physiology Research (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (119 citations), Sensory Systems (74 citations) and Neurology (57 citations). Marcia G. Welsh has collaborated with scholars based in United States and Cameroon. Frequent co-authors include Rüssel J. Reiter, Ivan L. Cameron, James R. Coleman, David G. Campbell, William A. Cooper, John A. Moyer, Mary K. Vaughan, Alvin J. Beitz, Mark D. Rollag and Kang Li. Their work appears in journals such as The FASEB Journal, Infection and Immunity and Cell and Tissue Research.
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.