Charles D. Tweedle
- Cellular and Molecular Neuroscience top 1%
- Social Psychology top 2%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Co-authors
- Glenn I. HattonG.I. HattonRobert M. PitmanMelvin J. CohenLynn S. PerlmutterA.K. SalmKenneth G. SmithsonWilliam W. Heusner
- Topics
- Neuroendocrine regulation and behavior (9 papers)Neuroscience and Neuropharmacology Research (6 papers)Neurobiology and Insect Physiology Research (6 papers)
- Cited by
- Endocrine and Autonomic SystemsCellular and Molecular NeuroscienceDevelopmental Neuroscience
- Partner nations
- United States
In The Last Decade
Charles D. Tweedle
36 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 1.3k
- Social Psychology 750
- Endocrine and Autonomic Systems 654
- Molecular Biology 470
- Cognitive Neuroscience 380
Countries citing papers authored by Charles D. Tweedle
This map shows the geographic impact of Charles D. Tweedle'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 Charles D. Tweedle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles D. Tweedle more than expected).
Fields of papers citing papers by Charles D. Tweedle
This network shows the impact of papers produced by Charles D. Tweedle. 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 Charles D. Tweedle. The network helps show where Charles D. Tweedle may publish in the future.
Co-authorship network of co-authors of Charles D. Tweedle
This figure shows the co-authorship network connecting the top 25 collaborators of Charles D. Tweedle. A scholar is included among the top collaborators of Charles D. Tweedle 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 Charles D. Tweedle. Charles D. Tweedle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 23 | |
| 3 | 32 | |
| 4 | 24 | |
| 5 | 17 | |
| 6 | 18 | |
| 7 | 182 | |
| 8 | 121 | |
| 9 | 100 | |
| 10 | 57 | |
| 11 | 15 | |
| 12 | 135 | |
| 13 | 22 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 82 | |
| 19 | Branching of Central Neurons: Intracellular Cobalt Injection for Light and Electron Microscopybreakdown → | 429 |
| 20 | 26 |
About Charles D. Tweedle
Charles D. Tweedle is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 36 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (654 citations), Cellular and Molecular Neuroscience (1.3k citations) and Developmental Neuroscience (287 citations). Charles D. Tweedle has collaborated with scholars based in United States. Frequent co-authors include Glenn I. Hatton, G.I. Hatton, Robert M. Pitman, Melvin J. Cohen, Lynn S. Perlmutter, A.K. Salm, Kenneth G. Smithson, William W. Heusner, Roland R. Roy and Kimberly Stephens. Their work appears in journals such as Science, Brain Research and Annals of the New York Academy of Sciences.
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.