Maja Reimann

1.1k total citations
42 papers, 432 citations indexed

About

Maja Reimann is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Maja Reimann has authored 42 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 27 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Maja Reimann's work include Tuberculosis Research and Epidemiology (20 papers), Mycobacterium research and diagnosis (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). Maja Reimann is often cited by papers focused on Tuberculosis Research and Epidemiology (20 papers), Mycobacterium research and diagnosis (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). Maja Reimann collaborates with scholars based in Germany, United States and United Kingdom. Maja Reimann's co-authors include E. Muñz, Jan Heyckendorf, Christoph Lange, Dumitru Chesov, H. Mahnel, Irina Kontsevaya, Stephen H. Gillespie, Stefan Niemann, Valeriu Crudu and Matthias Merker and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Maja Reimann

37 papers receiving 413 citations

Peers

Maja Reimann
Comparison fields: 5 of 72
  • Infectious Diseases 294
  • Epidemiology 255
  • Surgery 107
  • Molecular Biology 94
  • Virology 52
Replace R. Tran Manh Sung with:
R. Tran Manh Sung France
Sharad Pathak Norway
HN Madhavan India
Guozhi Wang China
Vinay Shivanna United States
Avanish K. Varshney United States
Xiuming Peng China
Sandra Isabel Canada
Dharani K. Ajithdoss United States
Paula R. Giaretta United States
R. Tran Manh Sung France View profile →
Citations per field, relative to Maja Reimann
Maja Reimann · 1×
Citations per year, relative to Maja Reimann
Maja Reimann · 1×

Countries citing papers authored by Maja Reimann

Since Specialization
Citations

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

Fields of papers citing papers by Maja Reimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Reimann

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Reimann. A scholar is included among the top collaborators of Maja Reimann 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 Maja Reimann. Maja Reimann 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
# Work Indexed citations
1 1
2 1
3 0
4 2
5 20
6 2
7 4
8 45
9 22
10 44
11 16
12 10
13 4
14 18
15 9
16 24
17 7
18 1
19 12
20
[Seroepidemiologic studies on reovirus infections of man, domestic and wild animals in Tanzania (author's transl)].
0

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026