Daniel Sagebiel

895 citations
29 papers · 633 · h-index 13

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 12
    • Mycobacterium research and diagnosis 7
    • Virology and Viral Diseases 5
    • Pneumocystis jirovecii pneumonia detection and treatment 4

Daniel Sagebiel

29 papers receiving 610 citations

Peers

Daniel Sagebiel
Comparison fields: 5 of 86
  • Infectious Diseases 290
  • Hepatology 88
  • Epidemiology 242
  • Health 56
  • Parasitology 34
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Rosemary McCann United Kingdom
Marina Antillón United States
Katharina Schönberger Germany
John C. Grabau United States
Rivka Sheffer Israel
Adrienne Guignard Belgium
María Patricia Arbeláez Colombia
Almaz Abebe Ethiopia
Kalliopi Theodoridou Greece
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Citations per year

Countries citing papers authored by Daniel Sagebiel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sagebiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200295
2 201165
3 201765
4 200765
5 201858
6 201433
7 200933
8 201732
9 200425
10 202022
11 201919
12 202017
13 202415
14 201911
15 20069
16 20159
17 20049
18 20198
19 20048
20 20026

About Daniel Sagebiel

Daniel Sagebiel is a scholar working on Infectious Diseases, Epidemiology, Surgery, Immunology and Health, having authored 29 papers that have together received 633 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (7 papers), Virology and Viral Diseases (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Diagnosis and treatment of tuberculosis (3 papers), Vaccine Coverage and Hesitancy (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Infectious Diseases (290 citations), Hepatology (88 citations), Epidemiology (242 citations), Health (56 citations) and Parasitology (34 citations). Daniel Sagebiel has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include R. Loddenkemper, Alfred Brendel, Dirk Werber, Julia Bitzegeio, Sabine Santibanez, Klaus Stark, Jürgen J. Wenzel, Mirko Faber, Kai Michaelis and Dagmar Sissolak. Their work appears in journals such as Eurosurveillance, International Journal of Infectious Diseases, European Respiratory Journal, Toxins and PLoS ONE.

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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