W. M. Prodinger

433 citations
13 papers · 329 · h-index 9

Impact in

Papers in

    • Mycobacterium research and diagnosis 4
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • Tuberculosis Research and Epidemiology 4

W. M. Prodinger

13 papers receiving 316 citations

Peers

W. M. Prodinger
Comparison fields: 5 of 56
  • Molecular Medicine 80
  • Endocrinology 58
  • Applied Microbiology and Biotechnology 11
  • Clinical Biochemistry 33
  • Infectious Diseases 83
Replace Mahoko Ikeda with:
Mahoko Ikeda Japan
M. C. Conroy France
Hsin‐Pai Chen Taiwan
Keyghobad Ghadiri Iran
Marcia A. Kielhofner United States
Jambulingam Malathi India
Cha‐Ze Lee Taiwan
Reidar Hjetland Norway
Lisa I. Påhlman Sweden
Joy Twentyman United States
W. M. Prodinger relative to Mahoko Ikeda Japan Mahoko Ikeda's profile →
Citations per field
00.5×1.7×
Mahoko Ikeda · 1×
Citations per year

Countries citing papers authored by W. M. Prodinger

Since Specialization
Citations

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

Fields of papers citing papers by W. M. Prodinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 199683
2 201255
3 200742
4 199732
5 199431
6 200623
7 199417
8 199213
9 199612
10 20088
11 20158
12 20053
13
CR2-mediated activation of the complement alternative pathway results in formation of membrane attack complexes on the human B cell surface
20012

About W. M. Prodinger

W. M. Prodinger is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Molecular Medicine, having authored 13 papers that have together received 329 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Antibiotic Resistance in Bacteria (3 papers), Complement system in diseases (2 papers), vaccines and immunoinformatics approaches (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Medicine (80 citations), Endocrinology (58 citations), Applied Microbiology and Biotechnology (11 citations), Clinical Biochemistry (33 citations) and Infectious Diseases (83 citations). W. M. Prodinger has collaborated with scholars based in Austria, Germany and Finland. Frequent co-authors include Cornelia Lass‐Flörl, M. P. Dierich, Manfred Fille, Katharina Grif, Bettina Pfausler, A. Bauernfeind, Stephen T. Amann, M P Dierich, Clara Larcher and Martin Spruth. Their work appears in journals such as Journal of Clinical Microbiology, Infection, The Journal of Immunology, Epidemiology and Infection and Veterinary 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.

Explore authors with similar magnitude of impact