David R. Simorangkir
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Tony M. PlantGary R. MarshallSuresh RamaswamyNigel G. WrefordStefan SchlattJens EhmckeTianjiao ChuKyle E. Orwig
- Topics
- Sperm and Testicular Function (15 papers)Sexual Differentiation and Disorders (6 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismEndocrinologyAnnals of the New York Academy of Sciences
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
David R. Simorangkir
15 papers receiving 599 citations
Peers
Comparison fields: 5 of 67
- Reproductive Medicine 460
- Public Health, Environmental and Occupational Health 293
- Molecular Biology 204
- Genetics 203
- Endocrinology, Diabetes and Metabolism 111
Countries citing papers authored by David R. Simorangkir
This map shows the geographic impact of David R. Simorangkir'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 David R. Simorangkir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Simorangkir more than expected).
Fields of papers citing papers by David R. Simorangkir
This network shows the impact of papers produced by David R. Simorangkir. 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 David R. Simorangkir. The network helps show where David R. Simorangkir may publish in the future.
Co-authorship network of co-authors of David R. Simorangkir
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Simorangkir. A scholar is included among the top collaborators of David R. Simorangkir 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 David R. Simorangkir. David R. Simorangkir 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 | 21 | |
| 3 | 30 | |
| 4 | 120 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 40 | |
| 8 | 87 | |
| 9 | 38 | |
| 10 | 45 | |
| 11 | 58 | |
| 12 | 8 | |
| 13 | 29 | |
| 14 | 41 | |
| 15 | 48 |
About David R. Simorangkir
David R. Simorangkir is a scholar working on Reproductive Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 613 indexed citations. Recurring topics across this work include Sperm and Testicular Function (15 papers), Sexual Differentiation and Disorders (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). The work is most often cited by research in Reproductive Medicine (460 citations), Public Health, Environmental and Occupational Health (293 citations) and Genetics (203 citations). David R. Simorangkir has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Tony M. Plant, Gary R. Marshall, Suresh Ramaswamy, Nigel G. Wreford, Stefan Schlatt, Jens Ehmcke, Tianjiao Chu, Kyle E. Orwig, Brian P. Hermann and Meena Sukhwani. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Annals of the New York Academy of Sciences.
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.