K. Mannweiler

796 citations
37 papers · 604 · h-index 11

Impact in

Papers in

K. Mannweiler

34 papers receiving 550 citations

Peers

K. Mannweiler
Comparison fields: 5 of 100
  • Structural Biology 45
  • Aging 13
  • Physiology 26
  • Virology 22
  • Molecular Biology 274
Replace Christopher Buser with:
Christopher Buser United States
Tetsuo Katsumoto Japan
Gregory H. Leno United States
Katharina Höhn Germany
Peter R. Hoyt United States
Nicolas Barois France
Junichi Tokunaga Japan
Qing-Tao Shen China
Kaifeng Zhou China
Erin Stempinski United States
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Citations per field
00.5×1.7×
Christopher Buser · 1×
Citations per year

Countries citing papers authored by K. Mannweiler

Since Specialization
Citations

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

Fields of papers citing papers by K. Mannweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside K. Mannweiler, 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 K. Mannweiler Line = papers co-authored together K. Mannweiler 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 1994208
2 195755
3 197745
4 199243
5 198231
6 199827
7 200621
8 195718
9 198214
10
Replica-immunogold technique applied to studies on measles virus morphogenesis.
198712
11 197612
12 199010
13 196510
14
Preparation of apical plasma membranes from cells grown on coverslips. Electron microscopic investigations of the protoplasmic surface.
198610
15 19739
16 19619
17 19888
18 19697
19 19617
20
Semi-automatic washing device for simultaneous cleaning of surface replicas under identical conditions.
19805

About K. Mannweiler

K. Mannweiler is a scholar working on Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 37 papers that have together received 604 indexed citations. Recurring topics across this work include Virology and Viral Diseases (8 papers), Viral Infections and Immunology Research (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Virus-based gene therapy research (4 papers), Animal Virus Infections Studies (4 papers), Lipid Membrane Structure and Behavior (3 papers), Herpesvirus Infections and Treatments (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Structural Biology (45 citations), Aging (13 citations), Physiology (26 citations), Virology (22 citations) and Molecular Biology (274 citations). K. Mannweiler has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Heinz Hohenberg, Martin Müller, M. Hoare, W. Bernhard, Wolfgang Bohn, G. Maaß, N. J. Titchener–Hooker, P. Dunnill, A. J. Booth and Fedor Čiampor. Their work appears in journals such as Archives of Virology, Journal of General Virology, Journal of Histochemistry & Cytochemistry, Journal of Microscopy and Journal of Neurology.

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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