Philip Siebel

661 citations
6 papers · 295 · h-index 4

Impact in

Papers in

Philip Siebel

6 papers receiving 290 citations

Peers

Philip Siebel
Comparison fields: 5 of 57
  • Psychiatry and Mental health 114
  • Pediatrics, Perinatology and Child Health 83
  • Reproductive Medicine 31
  • Endocrinology, Diabetes and Metabolism 54
  • Genetics 82
Replace Woo Yeong Chung with:
Woo Yeong Chung South Korea
Sebahattin Vurucu Türkiye
R. Brun del Re Canada
M Mohapl Czechia
Marianna Pezzella Italy
Tang Jiang China
Ghada Haddad United States
Robert C. Franks United States
R. De Iasio Italy
Jose Gonzalez Venezuela
Philip Siebel relative to Woo Yeong Chung South Korea Woo Yeong Chung's profile →
Citations per field
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Woo Yeong Chung · 1×
Citations per year

Countries citing papers authored by Philip Siebel

Since Specialization
Citations

This map shows the geographic impact of Philip Siebel'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 Philip Siebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Siebel more than expected).

Fields of papers citing papers by Philip Siebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Siebel. 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 Philip Siebel. The network helps show where Philip Siebel may publish in the future.

Co-authors

The 25 scholars most cited alongside Philip Siebel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip Siebel Line = papers co-authored together Philip Siebel links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2018171
2 200493
3 201116
4
Biological effects of ERalpha- and ERbeta-selective estrogens.
200412
5 20042
6 20151

About Philip Siebel

Philip Siebel is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Rehabilitation, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 295 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Reproductive Biology and Fertility (2 papers), Acute Ischemic Stroke Management (2 papers), Stroke Rehabilitation and Recovery (2 papers), EEG and Brain-Computer Interfaces (1 paper), Telemedicine and Telehealth Implementation (1 paper), Epilepsy research and treatment (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Psychiatry and Mental health (114 citations), Pediatrics, Perinatology and Child Health (83 citations), Reproductive Medicine (31 citations), Endocrinology, Diabetes and Metabolism (54 citations) and Genetics (82 citations). Philip Siebel has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Alexander Hillisch, Christa Hegele‐Hartung, Olaf Peters, Alexander M. Walter, Gerd A. Müller, Karl‐Heinrich Fritzemeier, Tim J. von Oertzen, Julian Conrad, Barbara Tettenborn and Gian Luigi Gigli. Their work appears in journals such as The Lancet Neurology, Experimental and Clinical Endocrinology & Diabetes, Cerebrovascular Diseases, Proceedings of the National Academy of Sciences and Therapeutische Umschau.

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.

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