Susan B. Spitzer
- Cardiology and Cardiovascular Medicine top 2%
- Behavioral Neuroscience top 1%
- Clinical Psychology top 5%
- Social Psychology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Neil SchneidermanMaría M. LlabreGail IronsonPatrice G. SaabMarc D. GellmanM. GuttCatherine L. DavisMahendra Kumar
- Topics
- Stress Responses and Cortisol (8 papers)Heart Rate Variability and Autonomic Control (7 papers)Cardiac Health and Mental Health (4 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Susan B. Spitzer
27 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Cardiology and Cardiovascular Medicine 706
- Behavioral Neuroscience 349
- Clinical Psychology 317
- Social Psychology 245
- Endocrinology, Diabetes and Metabolism 232
Countries citing papers authored by Susan B. Spitzer
This map shows the geographic impact of Susan B. Spitzer'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 Susan B. Spitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan B. Spitzer more than expected).
Fields of papers citing papers by Susan B. Spitzer
This network shows the impact of papers produced by Susan B. Spitzer. 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 Susan B. Spitzer. The network helps show where Susan B. Spitzer may publish in the future.
Co-authorship network of co-authors of Susan B. Spitzer
This figure shows the co-authorship network connecting the top 25 collaborators of Susan B. Spitzer. A scholar is included among the top collaborators of Susan B. Spitzer 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 Susan B. Spitzer. Susan B. Spitzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 130 | |
| 2 | 48 | |
| 3 | 63 | |
| 4 | 45 | |
| 5 | 18 | |
| 6 | 41 | |
| 7 | 374 | |
| 8 | 47 | |
| 9 | 59 | |
| 10 | 24 | |
| 11 | 170 | |
| 12 | 19 | |
| 13 | 414 | |
| 14 | 76 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 37 | |
| 18 | 32 | |
| 19 | 16 | |
| 20 | [Hemorheologic, micro- and macrocirculatory effects of hypervolemic hemodilution with middle molecular weight hydroxyethyl starch (Haes 200/0.62; 6 percent)]. | 2 |
About Susan B. Spitzer
Susan B. Spitzer is a scholar working on Behavioral Neuroscience, Anatomy and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (8 papers), Heart Rate Variability and Autonomic Control (7 papers) and Cardiac Health and Mental Health (4 papers). The work is most often cited by research in Behavioral Neuroscience (349 citations), Applied Psychology (191 citations) and Cardiology and Cardiovascular Medicine (706 citations). Susan B. Spitzer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Neil Schneiderman, María M. Llabre, Gail Ironson, Patrice G. Saab, Marc D. Gellman, M. Gutt, Catherine L. Davis, Mahendra Kumar, Jennifer B. Marks and Jay S. Skyler. Their work appears in journals such as The American Journal of Cardiology, Health Psychology and Psychosomatic Medicine.
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.