Stefan Lange
- Surgery top 5%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Hepatology top 2%
- Co-authors
- Ralf BenderHans J. TrampischHarald DariusRoman L. HaberlDavid PittrowJens R. AllenbergGerhart TepohlCurt Diehm
- Topics
- Statistical Methods in Clinical Trials (9 papers)Health Systems, Economic Evaluations, Quality of Life (7 papers)Meta-analysis and systematic reviews (7 papers)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Stefan Lange
90 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Surgery 1.1k
- Epidemiology 868
- Pulmonary and Respiratory Medicine 595
- Molecular Biology 508
- Hepatology 495
Countries citing papers authored by Stefan Lange
This map shows the geographic impact of Stefan Lange'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 Stefan Lange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Lange more than expected).
Fields of papers citing papers by Stefan Lange
This network shows the impact of papers produced by Stefan Lange. 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 Stefan Lange. The network helps show where Stefan Lange may publish in the future.
Co-authorship network of co-authors of Stefan Lange
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Lange. A scholar is included among the top collaborators of Stefan Lange 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 Stefan Lange. Stefan Lange 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 | 11 | |
| 3 | 3 | |
| 4 | 42 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | High prevalence of peripheral arterial disease and co-morbidity in 6880 primary care patients: cross-sectional studybreakdown → | 546 |
| 13 | 27 | |
| 14 | 4 | |
| 15 | 49 | |
| 16 | 6 | |
| 17 | 18 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | Interaction of cholera toxin and toxin derivatives with lymphocytes. III. Modulating effects in vivo by cholera toxin on the graft-versus-host reactivity of lymphoid cells: suggested inhibition of suppressor cells. | 2 |
About Stefan Lange
Stefan Lange is a scholar working on Statistics and Probability, Internal Medicine and Statistics, Probability and Uncertainty, having authored 97 papers that have together received 5.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Meta-analysis and systematic reviews (7 papers). The work is most often cited by research in Internal Medicine (259 citations), Hepatology (495 citations) and Epidemiology (868 citations). Stefan Lange has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Ralf Bender, Hans J. Trampisch, Harald Darius, Roman L. Haberl, David Pittrow, Jens R. Allenberg, Gerhart Tepohl, Curt Diehm, Alexander K. Schuster and Berndt von Stritzky. Their work appears in journals such as The Lancet, Angewandte Chemie International Edition and PLoS ONE.
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.