Julia Feldmann

1.4k citations
19 papers · 563 · h-index 13

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 13
    • Viral Infections and Vectors 2
    • Mycobacterium research and diagnosis 12
    • Influenza Virus Research Studies 2

Julia Feldmann

19 papers receiving 561 citations

Peers

Julia Feldmann
Comparison fields: 5 of 60
  • Infectious Diseases 423
  • Molecular Medicine 68
  • Epidemiology 398
  • Surgery 161
  • Microbiology 22
Replace Anzaan Dippenaar with:
Anzaan Dippenaar South Africa
Florian Wölbeling Germany
Tanja Kubica Germany
Karina Caimi Argentina
Michael Carpenter Canada
Christine Doig United Kingdom
M. Carmen Menéndez Spain
Matthew Shudt United States
Maryse Fauville‐Dufaux Belgium
D M Collins New Zealand
Julia Feldmann relative to Anzaan Dippenaar South Africa Anzaan Dippenaar's profile →
Citations per field
00.5×2.8×
Anzaan Dippenaar · 1×
Citations per year

Countries citing papers authored by Julia Feldmann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Feldmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201296
2 201381
3 201463
4 201949
5 201548
6 201941
7 201927
8 201026
9 202023
10 201720
11 201217
12 201414
13 201713
14 201912
15 202111
16 202011
17 20127
18 20193
19 20101

About Julia Feldmann

Julia Feldmann is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Genetics, having authored 19 papers that have together received 563 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (12 papers), Infectious Diseases and Tuberculosis (4 papers), Animal Disease Management and Epidemiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Influenza Virus Research Studies (2 papers), Viral Infections and Vectors (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Infectious Diseases (423 citations), Molecular Medicine (68 citations), Epidemiology (398 citations), Surgery (161 citations) and Microbiology (22 citations). Julia Feldmann has collaborated with scholars based in Switzerland, South Africa and Ghana. Frequent co-authors include Sébastien Gagneux, Sònia Borrell, David Stucki, Lukas Fenner, Dorothy Yeboah‐Manu, Mireia Coscollá, Bijaya Malla, Miriam Reinhard, Andrej Trauner and Chloé Loiseau. Their work appears in journals such as PLoS ONE, Scientific Reports, Avian Diseases, Frontiers in Ecology and Evolution and Antimicrobial Agents and Chemotherapy.

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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