G. Hiller

2.1k citations
23 papers · 1.9k · h-index 17

Impact in

  • Virology top 0.5%
    • Poxvirus research and outbreaks
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 13
    • Poxvirus research and outbreaks 12

G. Hiller

23 papers receiving 1.7k citations

Peers

G. Hiller
Comparison fields: 5 of 83
  • Virology 1.0k
  • Genetics 653
  • Epidemiology 738
  • Cell Biology 326
  • Ecology 343
Replace Sibylle Schleich with:
Sibylle Schleich Germany
Andrea S. Weisberg United States
Che-Sheng Chung Taiwan
Derek Walsh United States
Jaisri R. Lingappa United States
Monica J. Roth United States
Maria L. Zapp United States
Andrew J. Mouland Canada
Lorraine M. Albritton United States
Clarisse Berlioz‐Torrent France
G. Hiller relative to Sibylle Schleich Germany Sibylle Schleich's profile →
Citations per field
00.5×1.5×
Sibylle Schleich · 1×
Citations per year

Countries citing papers authored by G. Hiller

Since Specialization
Citations

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

Fields of papers citing papers by G. Hiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Hiller, 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 G. Hiller Line = papers co-authored together G. Hiller 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 1994329
2 1993263
3 1978234
4 1985186
5 1986143
6 1979103
7 198484
8 197971
9 197762
10 198156
11 198152
12 198251
13
A locus for familial hypertrophic cardiomyopathy is closely linked to the cardiac myosin heavy chain genes, CRI-L436, and CRI-L329 on chromosome 14 at q11-q12.
199051
14 198440
15 198236
16 198127
17 197617
18 198716
19 19819
20 19798

About G. Hiller

G. Hiller is a scholar working on Genetics, Virology, Ecology, Epidemiology and Molecular Biology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Poxvirus research and outbreaks (12 papers), Bacteriophages and microbial interactions (9 papers), Herpesvirus Infections and Treatments (8 papers), RNA and protein synthesis mechanisms (4 papers), Pancreatic function and diabetes (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Virology (1.0k citations), Genetics (653 citations), Epidemiology (738 citations), Cell Biology (326 citations) and Ecology (343 citations). G. Hiller has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Klaus Weber, K. Weber, Riccardo Wittek, Maria Ericsson, Beate Sodeik, Gareth Griffiths, C. Jungwirth, Martin Schmelz, Elizabeth J. Wolffe and Hisatoshi Shida. Their work appears in journals such as Virology, Journal of Virology, Experimental Cell Research, The Journal of Cell Biology and Archives of Virology.

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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