Michael Ecker

1.2k citations
13 papers · 982 · h-index 9

Impact in

Papers in

Michael Ecker

13 papers receiving 923 citations

Peers

Michael Ecker
Comparison fields: 5 of 52
  • Parasitology 479
  • Infectious Diseases 630
  • Public Health, Environmental and Occupational Health 659
  • Neurology 109
  • Insect Science 108
Replace Stanka Lotrič‐Furlan with:
Stanka Lotrič‐Furlan Slovenia
Petra Bogovič Slovenia
C. M. Eklund United States
Ivorlyne P. Greene United States
Sareen E. Galbraith United Kingdom
Willy W. Suen Australia
Václav Hönig Czechia
Nathalie Pardigon France
Renāte Ranka Latvia
V A Lashkevich Russia
Michael Ecker relative to Stanka Lotrič‐Furlan Slovenia Stanka Lotrič‐Furlan's profile →
Citations per field
00.5×8.4×
Stanka Lotrič‐Furlan · 1×
Citations per year

Countries citing papers authored by Michael Ecker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1999353
2 2012116
3 1997111
4 200387
5 199785
6 199678
7 199976
8 200941
9 199924
10 20234
11
The nucleotide and deduced amino acid sequences of protein E of HLJ-1 strain of tick-borne encephalitis from northeastern China
19964
12 20202
13 20201

About Michael Ecker

Michael Ecker is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology, Surgery and Molecular Biology, having authored 13 papers that have together received 982 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Vector-borne infectious diseases (6 papers), Viral Infections and Vectors (6 papers), CRISPR and Genetic Engineering (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), SARS-CoV-2 detection and testing (1 paper), Pelvic and Acetabular Injuries (1 paper) and Ophthalmology and Eye Disorders (1 paper). The work is most often cited by research in Parasitology (479 citations), Infectious Diseases (630 citations), Public Health, Environmental and Occupational Health (659 citations), Neurology (109 citations) and Insect Science (108 citations). Michael Ecker has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Franz X. Heinz, S L Allison, Christian W. Mandl, Heidemarie Holzmann, C Kunz, Karin Stiasny, Béla Büki, Yunxia Wang Lundberg, Stephan W. Aberle and Steven L. Allison. Their work appears in journals such as Journal of General Virology, Journal of Virology, The Journal of Immunology, Gene Therapy and Journal of Orthopaedics and Traumatology.

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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