Hans L. Rieder
- Infectious Diseases top 0.2%
- Epidemiology top 1%
- Surgery top 2%
- Molecular Biology
- Immunology
- Co-authors
- Dixie E. SniderGeorge M. CauthenMario RaviǵlioneNancy BinkinSang‐Jae KimA LászlóGeorge W. ComstockArmand Van Deun
- Topics
- Tuberculosis Research and Epidemiology (44 papers)Mycobacterium research and diagnosis (12 papers)Diagnosis and treatment of tuberculosis (11 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Hans L. Rieder
60 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Infectious Diseases 3.1k
- Epidemiology 2.4k
- Surgery 1.6k
- Molecular Biology 307
- Immunology 175
Countries citing papers authored by Hans L. Rieder
This map shows the geographic impact of Hans L. Rieder'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 Hans L. Rieder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans L. Rieder more than expected).
Fields of papers citing papers by Hans L. Rieder
This network shows the impact of papers produced by Hans L. Rieder. 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 Hans L. Rieder. The network helps show where Hans L. Rieder may publish in the future.
Co-authorship network of co-authors of Hans L. Rieder
This figure shows the co-authorship network connecting the top 25 collaborators of Hans L. Rieder. A scholar is included among the top collaborators of Hans L. Rieder 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 Hans L. Rieder. Hans L. Rieder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 54 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | Short, Highly Effective, and Inexpensive Standardized Treatment of Multidrug-resistant Tuberculosisbreakdown → | 453 |
| 6 | 8 | |
| 7 | 35 | |
| 8 | Sputum smear-positive tuberculosis:Empiric evidence challenges the need for confirmatory smears | 9 |
| 9 | Tuberculosis bacteriology, priorities and indications in high prevalence countries: position of the technical staff of the Tuberculosis Division of the International Union Against Tuberculosis and Lung Disease | 41 |
| 10 | Sustainable TB Control: The Questions That Have to Be Answered. (Round Table Discussion) | 1 |
| 11 | 10 | |
| 12 | Global Trends in Resistance to Antituberculosis Drugsbreakdown → | 519 |
| 13 | 71 | |
| 14 | 5 | |
| 15 | 39 | |
| 16 | 19 | |
| 17 | 16 | |
| 18 | 21 | |
| 19 | 11 | |
| 20 | 89 |
About Hans L. Rieder
Hans L. Rieder is a scholar working on Infectious Diseases, Anatomy and Epidemiology, having authored 65 papers that have together received 4.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (44 papers), Mycobacterium research and diagnosis (12 papers) and Diagnosis and treatment of tuberculosis (11 papers). The work is most often cited by research in Infectious Diseases (3.1k citations), Epidemiology (2.4k citations) and Surgery (1.6k citations). Hans L. Rieder has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Dixie E. Snider, George M. Cauthen, Mario Raviǵlione, Nancy Binkin, Sang‐Jae Kim, A László, George W. Comstock, Armand Van Deun, C.S.B. Lambregts-van Weezenbeek and Paul Daru. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.