Michael Lassner

4.3k citations
33 papers · 3.7k · h-index 25

Impact in

  • Biochemistry top 0.5%
    • Lipid metabolism and biosynthesis
    • Chromosomal and Genetic Variations
    • Plant-Microbe Interactions and Immunity

Papers in

Michael Lassner

33 papers receiving 3.4k citations

Peers

Michael Lassner
Comparison fields: 5 of 96
  • Biochemistry 624
  • Plant Science 2.2k
  • Molecular Biology 2.3k
  • Biotechnology 218
  • Biochemistry 137
Replace Katayoon Dehesh with:
Katayoon Dehesh United States
Joshua J. Blakeslee United States
Georg Hölzl Germany
Kirstin Feussner Germany
Gopalan Selvaraj Canada
Carmen Castresana Spain
Owen Rowland Canada
Michael L. Nuccio United States
Priti Krishna Canada
Yong Pyo Lim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Michael Lassner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lassner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001636
2 2003425
3 2007294
4 2004271
5 1989200
6 2001198
7 1996195
8 2002169
9 1988158
10 2000154
11 2000150
12 1995128
13 1989115
14 200258
15 198658
16 200552
17 198947
18 198945
19 198745
20 200143

About Michael Lassner

Michael Lassner is a scholar working on Plant Science, Biochemistry, Molecular Biology, Biotechnology and Biomedical Engineering, having authored 33 papers that have together received 3.7k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (11 papers), CRISPR and Genetic Engineering (8 papers), Chromosomal and Genetic Variations (8 papers), Lipid metabolism and biosynthesis (6 papers), Transgenic Plants and Applications (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Biochemistry (624 citations), Plant Science (2.2k citations), Molecular Biology (2.3k citations), Biotechnology (218 citations) and Biochemistry (137 citations). Michael Lassner has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include James G. Metz, Kathryn D. Lardizabal, John I. Yoder, Yuelin Zhang, Xin Li, Jan Dvořák, Peter W. Peterson, Michael R. Pollard, Daniel Facciotti and Kazunaga Yazawa. Their work appears in journals such as PLANT PHYSIOLOGY, The Plant Cell, Plant Molecular Biology, Genetics and Genome.

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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