Daniel Christmann

970 citations
24 papers · 646 · h-index 14

Impact in

Papers in

    • Viral Infections and Vectors 3
    • Antimicrobial Resistance in Staphylococcus 3
    • Vector-borne infectious diseases 5
    • Bartonella species infections research 2
    • Parasites and Host Interactions 2

Daniel Christmann

24 papers receiving 629 citations

Peers

Daniel Christmann
Comparison fields: 5 of 71
  • Microbiology 32
  • Parasitology 204
  • Infectious Diseases 315
  • Clinical Biochemistry 66
  • Virology 27
Replace Bineeta Kashyap with:
Bineeta Kashyap India
R Kapila United States
Pierre‐Yves Levy France
Kye‐Hyung Kim South Korea
Patrick E. Olson United States
Katarina Westling Sweden
James A. Krick United States
Juan Corredoira Spain
Nenad Pandak Croatia
Lisa Brumble United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Christmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Christmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003129
2 200582
3 201074
4 200551
5 200041
6 201238
7 201730
8 200625
9 200323
10 201522
11 201321
12 199617
13 200715
14 201315
15 201212
16 200710
17 20089
18 19979
19 19937
20 20096

About Daniel Christmann

Daniel Christmann is a scholar working on Infectious Diseases, Parasitology, Epidemiology, Surgery and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 646 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (5 papers), Infective Endocarditis Diagnosis and Management (4 papers), Viral Infections and Vectors (3 papers), Mosquito-borne diseases and control (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bartonella species infections research (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Microbiology (32 citations), Parasitology (204 citations), Infectious Diseases (315 citations), Clinical Biochemistry (66 citations) and Virology (27 citations). Daniel Christmann has collaborated with scholars based in France, Vietnam and United States. Frequent co-authors include Yves Hansmann, M. Martinot, O. Lesens, Colm Bergin, Véronique Rémy, Pierre Meyer, R. Heller, Nicolás Meyer, Nicolas Lefèbvre and Y. Piémont. Their work appears in journals such as Tropical Medicine & International Health, Infection Control and Hospital Epidemiology, Emerging infectious diseases, Journal of Clinical Microbiology and International 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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