Timo Vaara

34 papers receiving 1.8k citations

Peers

Timo Vaara
Comparison fields: 5 of 104
  • Molecular Medicine 829
  • Microbiology 405
  • Endocrinology 141
  • Pharmacology 422
  • Applied Microbiology and Biotechnology 48
Replace Marlon H. Cardoso with:
Marlon H. Cardoso Brazil
Steven T. Rutherford United States
Jesse J. Jackson United States
Alain Dufour France
Sheila Nathan Malaysia
Lionel Dubost France
Amy K. Cain Australia
J. B. Ward United Kingdom
Shouguang Jin United States
Michael J. Trimble Canada
Timo Vaara relative to Marlon H. Cardoso Brazil Marlon H. Cardoso's profile →
Citations per field
00.5×4.3×
Marlon H. Cardoso · 1×
Citations per year

Countries citing papers authored by Timo Vaara

Since Specialization
Citations

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

Fields of papers citing papers by Timo Vaara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Timo Vaara, 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 Timo Vaara Line = papers co-authored together Timo Vaara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983224
2 1983209
3 1983196
4 1981182
5 2008119
6 1995110
7 2010104
8 198198
9 197980
10 197974
11 201872
12 198451
13 198241
14 198840
15 199440
16 201236
17 200934
18 201031
19 198030
20 198329

About Timo Vaara

Timo Vaara is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Molecular Biology and Renewable Energy, Sustainability and the Environment, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Algal biology and biofuel production (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Antimicrobial Peptides and Activities (4 papers), Biocrusts and Microbial Ecology (3 papers), Vibrio bacteria research studies (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). The work is most often cited by research in Molecular Medicine (829 citations), Microbiology (405 citations), Endocrinology (141 citations), Pharmacology (422 citations) and Applied Microbiology and Biotechnology (48 citations). Timo Vaara has collaborated with scholars based in Finland, United States and Denmark. Frequent co-authors include Martti Vaara, P. Helena Mäkelä, J. Apajalahti, Seppo Niemelä, Michael C. Jensen, Marjatta Nurminen, Ilkka M. Helander, E. Rietschel, Niels Frimodt‐Møller and Matti Sarvas. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Peptides, Canadian Journal of Microbiology and Journal of Bacteriology.

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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