Barbara Middendorf

1.2k citations
22 papers · 972 · h-index 17

Impact in

Papers in

Barbara Middendorf

22 papers receiving 953 citations

Peers

Barbara Middendorf
Comparison fields: 5 of 63
  • Endocrinology 663
  • Molecular Medicine 125
  • Infectious Diseases 366
  • Microbiology 94
  • Biotechnology 128
Replace Tianyan Song with:
Tianyan Song Sweden
Cecília M. Abe Brazil
Yolande Bertin France
João Ramos Costa Andrade Brazil
Xiaolu Shi China
James T. Riordan United States
Emily B. Zentz United States
Witold A. Ferens United States
C. Le Bouguénec France
Neil Perry United Kingdom
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Citations per field
00.5×2.6×
Tianyan Song · 1×
Citations per year

Countries citing papers authored by Barbara Middendorf

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Middendorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008202
2 2006110
3 2004103
4 200888
5 199685
6 200177
7 201448
8 200945
9 200434
10 200126
11 201025
12 201024
13 201123
14 201020
15 201017
16 199917
17 200816
18 20054
19 20033
20 20143

About Barbara Middendorf

Barbara Middendorf is a scholar working on Endocrinology, Infectious Diseases, Molecular Biology, Genetics and Molecular Medicine, having authored 22 papers that have together received 972 indexed citations. Recurring topics across this work include Escherichia coli research studies (15 papers), Viral gastroenteritis research and epidemiology (5 papers), Bacterial Genetics and Biotechnology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Vibrio bacteria research studies (3 papers), Bacterial Infections and Vaccines (3 papers) and Listeria monocytogenes in Food Safety (2 papers). The work is most often cited by research in Endocrinology (663 citations), Molecular Medicine (125 citations), Infectious Diseases (366 citations), Microbiology (94 citations) and Biotechnology (128 citations). Barbara Middendorf has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Alexander Mellmann, Ulrich Dobrindt, Martina Bielaszewska, Angelika Fruth, Helge Karch, Jörg Hacker, Bianca Hochhut, Robin Köck, Alexander W. Friedrich and Roy Gross. Their work appears in journals such as Molecular Microbiology, Emerging infectious diseases, BMC Microbiology, Microbiological Research and Journal of Gastroenterology and Hepatology.

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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