Mario Hermann

1.1k citations
14 papers · 822 · h-index 9

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

Mario Hermann

14 papers receiving 812 citations

Peers

Mario Hermann
Comparison fields: 5 of 90
  • Neurology 107
  • Immunology 266
  • Aging 18
  • Business and International Management 18
  • Molecular Biology 437
Replace David Wu with:
David Wu United States
David U. Gorkin United States
Laurent Magnenat United States
Lenka Maliskova United States
Kevin Ha Canada
Maxime De Waegeneer Belgium
Judith Knehr Switzerland
Hari Jayaram United Kingdom
Aki Minoda Japan
Mark Burton Denmark
Mario Hermann relative to David Wu United States David Wu's profile →
Citations per field
00.5×3.8×
David Wu · 1×
Citations per year

Countries citing papers authored by Mario Hermann

Since Specialization
Citations

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

Fields of papers citing papers by Mario Hermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2012294
2 2016175
3 2017115
4 201674
5 201473
6 201233
7 201715
8 201413
9 202011
10 20246
11 20146
12
[Preliminary experiences with the treatment of shock in horses with a plasma expander from a starch base].
19903
13 20172
14
Starch markets in Asia.
20042

About Mario Hermann

Mario Hermann is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Aerospace Engineering, Immunology and Infectious Diseases, having authored 14 papers that have together received 822 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (4 papers), Pluripotent Stem Cells Research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Robotics and Sensor-Based Localization (2 papers), Immunotherapy and Immune Responses (2 papers), Advanced Vision and Imaging (2 papers) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Neurology (107 citations), Immunology (266 citations), Aging (18 citations), Business and International Management (18 citations) and Molecular Biology (437 citations). Mario Hermann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Paweł Pelczar, Adriano Aguzzi, Petra Schwarz, Burkhard Becher, Thorsten Buch, Caihong Zhu, Robert Brink, Mathias Heikenwälder, Sabine Spath and Juliana Komuczki. Their work appears in journals such as Journal of Visualized Experiments, Proceedings of the National Academy of Sciences, ACS Synthetic Biology, Immunity and The Journal of Experimental Medicine.

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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