Martina Vavra

408 total citations
14 papers, 283 citations indexed

About

Martina Vavra is a scholar working on Molecular Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Martina Vavra has authored 14 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Medicine, 8 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Martina Vavra's work include Antibiotic Resistance in Bacteria (11 papers), Mycobacterium research and diagnosis (7 papers) and Cancer therapeutics and mechanisms (5 papers). Martina Vavra is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Mycobacterium research and diagnosis (7 papers) and Cancer therapeutics and mechanisms (5 papers). Martina Vavra collaborates with scholars based in Germany, Netherlands and United States. Martina Vavra's co-authors include Winfried V. Kern, Sabine Schuster, Dirk Wagner, John W. A. Rossen, Leonard Amaral, Liliana Rodrigues, Miguel Viveiros, Isabel Couto, Yasufumi Matsumura and Berit Lange and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, European Respiratory Journal and Molecules.

In The Last Decade

Martina Vavra

13 papers receiving 276 citations

Peers

Martina Vavra
Comparison fields: 5 of 54
  • Molecular Medicine 150
  • Molecular Biology 117
  • Epidemiology 98
  • Infectious Diseases 97
  • Pharmacology 47
Replace Teresa Pacheco with:
Teresa Pacheco Portugal
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Stéphanie Matrat France
Tongying Nie China
M. Megan Lemmon United States
Ashraf A. Kadry Egypt
Hwa Su Kim South Korea
Matthew D. Surette Canada
Chunquan Xu China
Kumiko Kawamura‐Sato Japan
Teresa Pacheco Portugal View profile →
Citations per field, relative to Martina Vavra
Martina Vavra · 1×
Citations per year, relative to Martina Vavra
Martina Vavra · 1×

Countries citing papers authored by Martina Vavra

Since Specialization
Citations

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

Fields of papers citing papers by Martina Vavra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Vavra

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 3
3 3
4 15
5 10
6 11
7 11
8 21
9 27
10 18
11 34
12 14
13 1
14 115

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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