Natalie Hellman
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Pharmacology top 10%
- Musculoskeletal pain and rehabilitation
Papers in
- Physiology 19
- Pain Mechanisms and Treatments 18
- Pharmacology 15
- Musculoskeletal pain and rehabilitation 14
- Co-authors
- Matthew C. Morris (9 shared papers)Uma Rao (8 shared papers)James L. Abelson (1 shared paper)Jamie L. Rhudy (26 shared papers)Shreela Palit (22 shared papers)Joanna O. Shadlow (24 shared papers)B. Kuhn (23 shared papers)M. Payne (21 shared papers)
- Journals
- Journal of Pain (15 papers)Pain (2 papers)Annals of Behavioral Medicine (2 papers)Journal of Racial and Ethnic Health Disparities (2 papers)Journal of Pain Research (1 paper)
- Partner nations
- United StatesSpainPeru
In The Last Decade
Natalie Hellman
39 papers receiving 415 citations
Peers
Comparison fields: 5 of 63
- Behavioral Neuroscience 53
- Pharmacology 132
- Clinical Psychology 103
- Biological Psychiatry 10
- Physiology 99
Countries citing papers authored by Natalie Hellman
This map shows the geographic impact of Natalie Hellman'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 Natalie Hellman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Hellman more than expected).
Fields of papers citing papers by Natalie Hellman
This network shows the impact of papers produced by Natalie Hellman. 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 Natalie Hellman. The network helps show where Natalie Hellman may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie Hellman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 108 | |
| 2 | 2019 | 27 | |
| 3 | 2015 | 23 | |
| 4 | 2015 | 21 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2019 | 8 |
About Natalie Hellman
Natalie Hellman is a scholar working on Physiology, Pharmacology, Cognitive Neuroscience, Clinical Psychology and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 422 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (18 papers), Musculoskeletal pain and rehabilitation (14 papers), Pain Management and Placebo Effect (9 papers), Pediatric Pain Management Techniques (5 papers), Posttraumatic Stress Disorder Research (5 papers), Stress Responses and Cortisol (5 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Cultural Competency in Health Care (2 papers). The work is most often cited by research in Behavioral Neuroscience (53 citations), Pharmacology (132 citations), Clinical Psychology (103 citations), Biological Psychiatry (10 citations) and Physiology (99 citations). Natalie Hellman has collaborated with scholars based in United States, Spain and Peru. Frequent co-authors include Matthew C. Morris, Uma Rao, James L. Abelson, Jamie L. Rhudy, Shreela Palit, Joanna O. Shadlow, B. Kuhn, M. Payne, Y. Güereca and Amanda Sherman. Their work appears in journals such as Journal of Pain, Pain, Annals of Behavioral Medicine, Journal of Racial and Ethnic Health Disparities and Journal of Pain 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.