Steven G. Pavlakis
- Molecular Biology top 5%
- Clinical Biochemistry top 0.2%
- Genetics top 1%
- Hematology top 1%
- Psychiatry and Mental health top 2%
- Co-authors
- Darryl C. De VivoLewis P. RowlandPeter C. Phillips∥Salvatore DiMauroMichio HiranoIsak ProhovnikYitzchak FrankSergio Piomelli
- Topics
- Hemoglobinopathies and Related Disorders (15 papers)Blood Coagulation and Thrombosis Mechanisms (13 papers)Neurological Complications and Syndromes (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Steven G. Pavlakis
87 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.7k
- Clinical Biochemistry 874
- Genetics 752
- Hematology 677
- Psychiatry and Mental health 582
Countries citing papers authored by Steven G. Pavlakis
This map shows the geographic impact of Steven G. Pavlakis'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 Steven G. Pavlakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven G. Pavlakis more than expected).
Fields of papers citing papers by Steven G. Pavlakis
This network shows the impact of papers produced by Steven G. Pavlakis. 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 Steven G. Pavlakis. The network helps show where Steven G. Pavlakis may publish in the future.
Co-authorship network of co-authors of Steven G. Pavlakis
This figure shows the co-authorship network connecting the top 25 collaborators of Steven G. Pavlakis. A scholar is included among the top collaborators of Steven G. Pavlakis 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 Steven G. Pavlakis. Steven G. Pavlakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Duchenne Muscular Dystrophy | 1 |
| 4 | 40 | |
| 5 | 0 | |
| 6 | 41 | |
| 7 | 23 | |
| 8 | 32 | |
| 9 | 65 | |
| 10 | 18 | |
| 11 | 7 | |
| 12 | 51 | |
| 13 | 13 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 27 | |
| 18 | 264 | |
| 19 | 22 | |
| 20 | 7 |
About Steven G. Pavlakis
Steven G. Pavlakis is a scholar working on Hematology, Genetics and Clinical Biochemistry, having authored 89 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers) and Neurological Complications and Syndromes (13 papers). The work is most often cited by research in Clinical Biochemistry (874 citations), Genetics (752 citations) and Hematology (677 citations). Steven G. Pavlakis has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Darryl C. De Vivo, Lewis P. Rowland, Peter C. Phillips∥, Salvatore DiMauro, Michio Hirano, Isak Prohovnik, Yitzchak Frank, Sergio Piomelli, Darryl C. DeVivo and Robert J. Adams. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Clinical Endocrinology & 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.