Valentin Pflüger

2.4k citations
44 papers · 1.5k · h-index 23

Impact in

Papers in

Valentin Pflüger

43 papers receiving 1.5k citations

Peers

Valentin Pflüger
Comparison fields: 5 of 91
  • Clinical Biochemistry 356
  • Microbiology 260
  • Parasitology 163
  • Endocrinology 79
  • Epidemiology 426
Replace Man‐Suen Chan with:
Man‐Suen Chan United Kingdom
Tobias Eisenberg Germany
Reinhard Sting Germany
Dmitriy V. Volokhov United States
Igor Loncaric Austria
Kimothy L. Smith United States
Cristina Ballesteros Spain
Stephen J. Billington United States
Tracy L. Nicholson United States
David González‐Barrio Spain
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Citations per field
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Citations per year

Countries citing papers authored by Valentin Pflüger

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Pflüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005162
2 2011120
3 201389
4 201079
5 200778
6 200777
7 201465
8 201163
9 201163
10 201558
11 201551
12 201046
13 200846
14 202140
15 201740
16 201538
17 201234
18 201233
19 201328
20 201628

About Valentin Pflüger

Valentin Pflüger is a scholar working on Clinical Biochemistry, Epidemiology, Public Health, Environmental and Occupational Health, Microbiology and Molecular Biology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (12 papers), Bacterial Infections and Vaccines (8 papers), Pneumonia and Respiratory Infections (6 papers), Mosquito-borne diseases and control (6 papers), Streptococcal Infections and Treatments (4 papers), Vector-Borne Animal Diseases (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Clinical Biochemistry (356 citations), Microbiology (260 citations), Parasitology (163 citations), Endocrinology (79 citations) and Epidemiology (426 citations). Valentin Pflüger has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Dominik Ziegler, Francis Schaffner, Alexander Mathis, Guido Vogel, Roger Stephan, Gerd Pluschke, Christian A. Kaufmann, Julia Leimkugel, Jean‐Pierre Dangy and Abraham Hodgson. Their work appears in journals such as Parasites & Vectors, Medical and Veterinary Entomology, PLoS ONE, Parasitology and The Journal of Infectious Diseases.

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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