M Katila

40 papers receiving 1.2k citations

Peers

M Katila
Comparison fields: 5 of 114
  • Microbiology 32
  • Small Animals 291
  • Endocrinology 183
  • Infectious Diseases 616
  • Epidemiology 744
Replace Marja‐Leena Katila with:
Marja‐Leena Katila Finland
G. Marklein Germany
Nicole Desplaces France
Che‐Kim Tan Taiwan
Roland Schulze‐Röbbecke Germany
R. Freeman United Kingdom
Bülent Sümerkan Türkiye
Robert M. Bannatyne Canada
R J van Ketel Netherlands
Howard W. Larsh United States
M Katila relative to Marja‐Leena Katila Finland Marja‐Leena Katila's profile →
Citations per field
00.5×1.5×
Marja‐Leena Katila · 1×
Citations per year

Countries citing papers authored by M Katila

Since Specialization
Citations

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

Fields of papers citing papers by M Katila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Katila, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Katila Line = papers co-authored together M Katila links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Non-tuberculous mycobacteria: patterns of isolation. A multi-country retrospective survey.
2004183
2 2003156
3 199390
4 200278
5 199575
6 196867
7 198762
8 199552
9 199542
10 199938
11
Tuberculosis as an occupational hazard for health care workers in Estonia.
200137
12 199435
13 199534
14 200232
15 200930
16 200030
17 199229
18
Isolation of potentially pathogenic mycobacteria in the Finnish environment.
199529
19 199328
20 198926

About M Katila

M Katila is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Small Animals and Ecology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (17 papers), Tuberculosis Research and Epidemiology (6 papers), Infectious Diseases and Mycology (6 papers), Genomics and Phylogenetic Studies (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Peatlands and Wetlands Ecology (3 papers). The work is most often cited by research in Microbiology (32 citations), Small Animals (291 citations), Endocrinology (183 citations), Infectious Diseases (616 citations) and Epidemiology (744 citations). M Katila has collaborated with scholars based in Finland, United States and Italy. Frequent co-authors include E Brander, Pertti J. Martikainen, Eila Iivanainen, M. H. Frick, Juha Kauppinen, A Bäckman, R. Mäntyjärvi, Hilpi Rautelin, Marja‐Liisa Hänninen and Ilkka Miettinen. Their work appears in journals such as Journal of Clinical Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, Clinical Infectious Diseases, Apmis and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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