Ingrid Bahner

1.8k citations
37 papers · 1.4k · h-index 19

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

Ingrid Bahner

35 papers receiving 1.4k citations

Peers

Ingrid Bahner
Comparison fields: 5 of 83
  • Virology 394
  • Genetics 547
  • Molecular Biology 800
  • Infectious Diseases 156
  • Immunology 170
Replace Philippe Mangeot with:
Philippe Mangeot France
Ellen M. Westerhout Netherlands
Patrick M. Reeves United States
Miriam Lieberman United States
Harold Varmus United States
Christian L. Boutwell United States
Petr O. Ilyinskii United States
David Fenard France
Pavel Sova United States
Cagan Gurer United States
Ingrid Bahner relative to Philippe Mangeot France Philippe Mangeot's profile →
Citations per field
00.5×1.7×
Philippe Mangeot · 1×
Citations per year

Countries citing papers authored by Ingrid Bahner

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Bahner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999206
2 2006147
3 199496
4 200094
5 199790
6 199785
7 199384
8 199682
9 199078
10 199263
11 201960
12 201351
13 200646
14 199142
15 200632
16 202330
17 199624
18 200721
19 199719
20 202113

About Ingrid Bahner

Ingrid Bahner is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Virology and General Health Professions, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), RNA Interference and Gene Delivery (10 papers), HIV Research and Treatment (9 papers), Innovations in Medical Education (9 papers), Health and Medical Research Impacts (6 papers), Medical Education and Admissions (4 papers), CRISPR and Genetic Engineering (4 papers) and Diversity and Career in Medicine (3 papers). The work is most often cited by research in Virology (394 citations), Genetics (547 citations), Molecular Biology (800 citations), Infectious Diseases (156 citations) and Immunology (170 citations). Ingrid Bahner has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Donald B. Kohn, John J. Rossi, Xiaojin Yu, John A. Zaia, Chen Zhou, Gerhard Bauer, Alessandro Michienzi, Laurence Cagnon, Jan A. Nolta and Karen Pepper. Their work appears in journals such as Molecular Therapy, Blood, Journal of Virology, Human Gene Therapy and Medical Science Educator.

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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