Hans Meier

5.4k citations
188 papers · 3.7k · h-index 36

Impact in

Papers in

    • RNA Research and Splicing 9
    • Muscle Physiology and Disorders 9
    • Polysaccharides and Plant Cell Walls 20
    • Research in Cotton Cultivation 9

Hans Meier

182 papers receiving 3.2k citations

Peers

Hans Meier
Comparison fields: 5 of 149
  • Plant Science 1.1k
  • Biotechnology 237
  • Genetics 558
  • Molecular Biology 1.4k
  • Biomaterials 255
Replace Robert H. Rice with:
Robert H. Rice United States
Howard P. Baden United States
Paul D. Siebert United States
Michael A. Innis United States
Peter Köhler United States
Takashi Kageyama Japan
Alex Markham United Kingdom
Takahide Tsuchiya Japan
Gobinda Sarkar United States
Josef Kellermann Germany
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Citations per field
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Robert H. Rice · 1×
Citations per year

Countries citing papers authored by Hans Meier

Since Specialization
Citations

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

Fields of papers citing papers by Hans Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970154
2 1973128
3 1966112
4 1970111
5 197393
6 195580
7 195874
8 197966
9 197163
10 197361
11 197061
12 197160
13 196359
14 195559
15 197258
16 195957
17 198256
18 196950
19 197150
20 197748

About Hans Meier

Hans Meier is a scholar working on Molecular Biology, Plant Science, Genetics, Immunology and Physiology, having authored 188 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (24 papers), Polysaccharides and Plant Cell Walls (20 papers), Adipose Tissue and Metabolism (12 papers), Animal Virus Infections Studies (12 papers), T-cell and Retrovirus Studies (11 papers), RNA Research and Splicing (9 papers), Muscle Physiology and Disorders (9 papers) and Research in Cotton Cultivation (9 papers). The work is most often cited by research in Plant Science (1.1k citations), Biotechnology (237 citations), Genetics (558 citations), Molecular Biology (1.4k citations) and Biomaterials (255 citations). Hans Meier has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include J. S. Grant Reid, Robert J. Huebner, Benjamin A. Taylor, D. D. Myers, W G Hoag, H. J. Heiniger, Antony Buchala, Bhalchandra A. Diwan, Benjamin A. Taylor and Per Norberg. Their work appears in journals such as Planta, JNCI Journal of the National Cancer Institute, Nature, Experimental Biology and Medicine and Die Naturwissenschaften.

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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