Gesa Hoffmann

419 citations
12 papers · 287 · h-index 9

Impact in

    • Virus-based gene therapy research
    • Plant Virus Research Studies
    • Plant-Microbe Interactions and Immunity
    • Plant Parasitism and Resistance
    • Plant Molecular Biology Research

Papers in

    • Plant Virus Research Studies 7
    • Plant-Microbe Interactions and Immunity 4
    • Plant Molecular Biology Research 3
    • Plant Pathogenic Bacteria Studies 2
    • CRISPR and Genetic Engineering 3
    • RNA Interference and Gene Delivery 2

Gesa Hoffmann

12 papers receiving 286 citations

Peers

Gesa Hoffmann
Comparison fields: 5 of 40
  • Genetics 127
  • Plant Science 106
  • Molecular Biology 180
  • Endocrinology 11
  • Hematology 21
Replace Grégoire Cullot with:
Grégoire Cullot Switzerland
Changwang Deng United States
Tarryn Porter United Kingdom
Rosel Kretschmer‐Kazemi Far Germany
N. Hess Germany
Anil K Kesarwani United States
Kihoon Yoon United States
Annie Kim South Korea
Clemency Jolly United States
David Zünd Switzerland
Gesa Hoffmann relative to Grégoire Cullot Switzerland Grégoire Cullot's profile →
Citations per field
00.5×3.5×
Grégoire Cullot · 1×
Citations per year

Countries citing papers authored by Gesa Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Gesa Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2001135
2 202130
3 200125
4 202121
5 200318
6 202215
7 201914
8 202310
9 20239
10 20195
11 20234
12 20251

About Gesa Hoffmann

Gesa Hoffmann is a scholar working on Plant Science, Molecular Biology, Genetics, Endocrinology and Ecology, having authored 12 papers that have together received 287 indexed citations. Recurring topics across this work include Plant Virus Research Studies (7 papers), Plant-Microbe Interactions and Immunity (4 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Plant Molecular Biology Research (3 papers), Plant Pathogenic Bacteria Studies (2 papers), Plant and Fungal Interactions Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (127 citations), Plant Science (106 citations), Molecular Biology (180 citations), Endocrinology (11 citations) and Hematology (21 citations). Gesa Hoffmann has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Manfred Schmidt, Christof von Kalle, Hanno Glimm, Manuela Wissler, David A. Williams, Susanne Ragg, Anders Hafrén, Johannes Hanson, Marco Incarbone and Nirbhay Kumar Kushwaha. Their work appears in journals such as The Plant Cell, Annals of the New York Academy of Sciences, Journal of Experimental Botany, Frontiers in Plant Science and Human Gene Therapy.

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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