Daniela Bender

457 citations
27 papers · 327 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology

Papers in

Daniela Bender

24 papers receiving 325 citations

Peers

Daniela Bender
Comparison fields: 5 of 72
  • Hepatology 83
  • Infectious Diseases 102
  • Public Health, Environmental and Occupational Health 78
  • Epidemiology 87
  • Virology 10
Replace Zeng Tu with:
Zeng Tu China
Sayyad Khanizadeh Iran
Golnaz Bahramali Iran
Héctor Vivanco-Cid Mexico
Rayan Farhat France
Wangheng Hou China
Marie Bartenschlager Germany
Qing‐Dong Xie China
Marta A Santiago Brazil
Amudhan Murugesan India
Daniela Bender relative to Zeng Tu China Zeng Tu's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Daniela Bender

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Bender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201943
3 201936
4 202020
5 202120
6 202020
7 202220
8 201815
9 201914
10 201712
11 202110
12 20208
13 20237
14 20216
15 20226
16 20206
17 20245
18 20225
19 20245
20 20245

About Daniela Bender

Daniela Bender is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Hepatology, Epidemiology and Molecular Biology, having authored 27 papers that have together received 327 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Hepatitis C virus research (7 papers), Viral Infections and Vectors (6 papers), Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Bartonella species infections research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Hepatology (83 citations), Infectious Diseases (102 citations), Public Health, Environmental and Occupational Health (78 citations), Epidemiology (87 citations) and Virology (10 citations). Daniela Bender has collaborated with scholars based in Germany, Switzerland and Norway. Frequent co-authors include Eberhard Hildt, Kiyoshi Himmelsbach, Fabian Elgner, Mirco Glitscher, Julia Stingl, D Stefanova, A. Heine, Sabine Werner, Torsten Steinmetzer and Jun Ping Quek. Their work appears in journals such as Antiviral Research, Viruses, Journal of Virology, Frontiers in Cell and Developmental Biology and The International Journal of Prosthodontics.

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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