William J. Dieckmann
- Physiology top 2%
- Epidemiology top 10%
- Rehabilitation top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Cell Biology top 10%
- Co-authors
- Robert J. BrychtaKong Y. ChenJoyce D. LindermanFrancesco S. CeliSusan M. SmithAmber B. CourvilleChi‐Ho LeePeter Herscovitch
- Topics
- Pregnancy and preeclampsia studies (6 papers)Medical Imaging Techniques and Applications (5 papers)Advanced MRI Techniques and Applications (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismCell Metabolism
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
William J. Dieckmann
35 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Physiology 907
- Epidemiology 391
- Rehabilitation 275
- Cardiology and Cardiovascular Medicine 255
- Cell Biology 174
Countries citing papers authored by William J. Dieckmann
This map shows the geographic impact of William J. Dieckmann'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 William J. Dieckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Dieckmann more than expected).
Fields of papers citing papers by William J. Dieckmann
This network shows the impact of papers produced by William J. Dieckmann. 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 William J. Dieckmann. The network helps show where William J. Dieckmann may publish in the future.
Co-authorship network of co-authors of William J. Dieckmann
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Dieckmann. A scholar is included among the top collaborators of William J. Dieckmann 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 William J. Dieckmann. William J. Dieckmann 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 | 68 | |
| 3 | Mapping of human brown adipose tissue in lean and obese young menbreakdown → | 380 |
| 4 | 136 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 70 | |
| 10 | 7 | |
| 11 | [Toxicology of a new semisynthetic cardiac glycoside meproscillarin]. | 1 |
| 12 | [Successful inhibition of D-sensitization following the administration of Rh-positive blood to Rh-negative recipients through high doses of IgG-anti-D]. | 1 |
| 13 | 9 | |
| 14 | 19 | |
| 15 | 21 | |
| 16 | 13 | |
| 17 | Etiology of pre-eclampsia-eclampsia. VI. Sodium, potassium, nitrogen, and water content of muscle and skin in pre-eclampsia. | 13 |
| 18 | 25 | |
| 19 | 13 | |
| 20 | 150 |
About William J. Dieckmann
William J. Dieckmann is a scholar working on Obstetrics and Gynecology, Rehabilitation and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (6 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Rehabilitation (275 citations), Physiology (907 citations) and Obstetrics and Gynecology (169 citations). William J. Dieckmann has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Robert J. Brychta, Kong Y. Chen, Joyce D. Linderman, Francesco S. Celi, Susan M. Smith, Amber B. Courville, Chi‐Ho Lee, Peter Herscovitch, R.E. Pottinger and Aaron M. Cypess. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.
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.