Nina C. Franklin
- Cardiology and Cardiovascular Medicine
- Physiology
- Complementary and alternative medicine top 5%
- General Health Professions
- Public Health, Environmental and Occupational Health
- Co-authors
- Charlotte A. TateShane A. PhillipsMohamed M. AliAustin T. RobinsonRoss ArenaCarl J. LavieRichard V. MilaniJing Bian
- Topics
- Cardiovascular and exercise physiology (5 papers)Mobile Health and mHealth Applications (3 papers)Heart Rate Variability and Autonomic Control (3 papers)
- Cited by
- Neuropsychology and Physiological PsychologyComplementary and alternative medicineApplied Psychology
- Partner nations
- United StatesSwedenIsrael
In The Last Decade
Nina C. Franklin
10 papers receiving 326 citations
Peers
Comparison fields: 5 of 92
- Cardiology and Cardiovascular Medicine 110
- Physiology 96
- Complementary and alternative medicine 81
- General Health Professions 62
- Public Health, Environmental and Occupational Health 34
Countries citing papers authored by Nina C. Franklin
This map shows the geographic impact of Nina C. Franklin'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 Nina C. Franklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina C. Franklin more than expected).
Fields of papers citing papers by Nina C. Franklin
This network shows the impact of papers produced by Nina C. Franklin. 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 Nina C. Franklin. The network helps show where Nina C. Franklin may publish in the future.
Co-authorship network of co-authors of Nina C. Franklin
This figure shows the co-authorship network connecting the top 25 collaborators of Nina C. Franklin. A scholar is included among the top collaborators of Nina C. Franklin 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 Nina C. Franklin. Nina C. Franklin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 2 | |
| 3 | 33 | |
| 4 | 36 | |
| 5 | 39 | |
| 6 | 19 | |
| 7 | 48 | |
| 8 | 28 | |
| 9 | 26 | |
| 10 | 0 | |
| 11 | 84 |
About Nina C. Franklin
Nina C. Franklin is a scholar working on Neuropsychology and Physiological Psychology, Complementary and alternative medicine and Applied Psychology, having authored 11 papers that have together received 339 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (5 papers), Mobile Health and mHealth Applications (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (30 citations), Complementary and alternative medicine (81 citations) and Applied Psychology (26 citations). Nina C. Franklin has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Charlotte A. Tate, Shane A. Phillips, Mohamed M. Ali, Austin T. Robinson, Ross Arena, Carl J. Lavie, Richard V. Milani, Jing Bian, Edward Wang and Lígia M. Antunes‐Correa. Their work appears in journals such as The FASEB Journal, Archives of Physical Medicine and Rehabilitation and Journal of Hypertension.
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.