Stefan Niemann

33.6k citations
301 papers · 14.8k indexed · 4 hit papers · h-index 65
Topics
Tuberculosis Research and Epidemiology (247 papers)Mycobacterium research and diagnosis (229 papers)Infectious Diseases and Tuberculosis (69 papers)

In The Last Decade

Stefan Niemann

292 papers receiving 14.5k citations

Hit Papers

Variable host–pathogen compatibility in Mycobacterium tub...20062026201220192006201020112013200400600

Peers

Stefan Niemann
Comparison fields: 5 of 164
  • Infectious Diseases 12.3k
  • Epidemiology 11.5k
  • Surgery 5.6k
  • Molecular Biology 3.0k
  • Molecular Medicine 1.1k
Replace Ian M. Orme with:
Ian M. Orme United States
Brigitte Gicquel France
Roland Brosch France
Marcel A. Behr Canada
Kristin Kremer Netherlands
JoAnne L. Flynn United States
R. Glyn Hewinson United Kingdom
Nalin Rastogi Guadeloupe
Sébastien Gagneux Switzerland
Stephen V. Gordon Ireland
Stefan Niemann relative to Ian M. Orme United States Ian M. Orme's profile →
Citations per field
00.5×1.5×2.1×
Ian M. Orme · 1×
Citations per year

Countries citing papers authored by Stefan Niemann

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Niemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Niemann

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Niemann. A scholar is included among the top collaborators of Stefan Niemann 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 Niemann. Stefan Niemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
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5 0
6 5
7 2
8 3
9 38
10 2
11 12
12 33
13 5
14 38
15 41
16 15
17
Drug-resistance profiling and transmission dynamics of multidrug-resistant Mycobacterium tuberculosis in Saudi Arabia revealed by whole genome sequencing
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18 3
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About Stefan Niemann

Stefan Niemann is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 301 papers that have together received 14.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (247 papers), Mycobacterium research and diagnosis (229 papers) and Infectious Diseases and Tuberculosis (69 papers). The work is most often cited by research in Infectious Diseases (12.3k citations), Epidemiology (11.5k citations) and Molecular Medicine (1.1k citations). Stefan Niemann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Sabine Rüsch–Gerdes, Roland Diel, Sébastien Gagneux, Elvira Richter, Philip Supply, Susanne Homolka, Thomas A. Kohl, Kristin Kremer, Dag Harmsen and Iñaki Comas. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

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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