Maya Braun

1.0k citations
23 papers · 711 · h-index 10

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Outbreaks Research
  • Virology top 10%
    • Rabies epidemiology and control

Papers in

Maya Braun

22 papers receiving 697 citations

Peers

Maya Braun
Comparison fields: 5 of 69
  • Infectious Diseases 375
  • Virology 68
  • Epidemiology 350
  • Agronomy and Crop Science 57
  • Ecology, Evolution, Behavior and Systematics 93
Replace Muhammad Atif Zahoor with:
Muhammad Atif Zahoor Canada
Daniel Mayer Germany
Xiaoxing Qiu United States
Hélène Valentin France
Élodie Décembre France
S Schneider-Schaulies Germany
Izaura Maria Vieira Cayres Vallinoto Brazil
Pilar Moreno Uruguay
Dale F. Hirschkorn United States
Natasha Qaisar United States
Maya Braun relative to Muhammad Atif Zahoor Canada Muhammad Atif Zahoor's profile →
Citations per field
00.5×3.1×
Muhammad Atif Zahoor · 1×
Citations per year

Countries citing papers authored by Maya Braun

Since Specialization
Citations

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

Fields of papers citing papers by Maya Braun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007208
2 2002178
3 2021123
4
Isolation of human herpesvirus-6 (HHV-6) from patients with collagen vascular diseases.
199136
5 201933
6 201431
7 202028
8 202013
9 200610
10 201910
11 20237
12 19996
13 20065
14 20245
15 20204
16 20233
17 20252
18 20222
19 20212
20 20222

About Maya Braun

Maya Braun is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Cellular and Molecular Neuroscience and Virology, having authored 23 papers that have together received 711 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (4 papers), Virology and Viral Diseases (3 papers), Fungal and yeast genetics research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Rabies epidemiology and control (2 papers), Viral Infections and Vectors (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (375 citations), Virology (68 citations), Epidemiology (350 citations), Agronomy and Crop Science (57 citations) and Ecology, Evolution, Behavior and Systematics (93 citations). Maya Braun has collaborated with scholars based in Israel, Australia and Finland. Frequent co-authors include C. Morrissy, Gail Russell, Deborah Middleton, H. A. Westbury, Peter W. Daniels, Kim Halpin, AD Hyatt, Yolanda Braun‐Moscovici, K. Toledano and Alexandra Balbir‐Gurman. Their work appears in journals such as iScience, Journal of Hepatology, Journal of Comparative Pathology, Clinical Orthopaedics and Related Research and Cephalalgia.

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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