G. Forkmann

6.9k citations
104 papers · 4.6k · h-index 37

Impact in

  • Biochemistry top 0.1%
    • Phytochemicals and Antioxidant Activities
    • Plant Gene Expression Analysis
    • Plant biochemistry and biosynthesis
    • Plant tissue culture and regeneration
    • Photosynthetic Processes and Mechanisms

Papers in

    • Plant Gene Expression Analysis 75
    • Plant biochemistry and biosynthesis 35
    • Plant tissue culture and regeneration 10
    • Photosynthetic Processes and Mechanisms 9
    • Phytochemicals and Antioxidant Activities 44

G. Forkmann

103 papers receiving 4.2k citations

Peers

G. Forkmann
Comparison fields: 5 of 90
  • Biochemistry 1.5k
  • Molecular Biology 3.8k
  • Plant Science 1.8k
  • Biotechnology 258
  • Food Science 344
Replace Keiko Yonekura‐Sakakibara with:
Keiko Yonekura‐Sakakibara Japan
Takaaki Kusumi Japan
Masako Fukuchi‐Mizutani Japan
Lucille Pourcel Switzerland
Philippe Hugueney France
Karl Stich Austria
Richard V. Espley New Zealand
Sun‐Hwa Ha South Korea
Kanji Ishimaru Japan
Tsukasa Iwashina Japan
G. Forkmann relative to Keiko Yonekura‐Sakakibara Japan Keiko Yonekura‐Sakakibara's profile →
Citations per field
00.5×1.5×
Keiko Yonekura‐Sakakibara · 1×
Citations per year

Countries citing papers authored by G. Forkmann

Since Specialization
Citations

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

Fields of papers citing papers by G. Forkmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987262
2 2001248
3 1991196
4 2000190
5 2004169
6 2002166
7 2006123
8 1992118
9 1987109
10 200197
11 200296
12 200593
13 200791
14 198090
15 200390
16 199989
17 198088
18 199387
19 200786
20 200385

About G. Forkmann

G. Forkmann is a scholar working on Molecular Biology, Biochemistry, Plant Science, Food Science and Ecology, Evolution, Behavior and Systematics, having authored 104 papers that have together received 4.6k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (75 papers), Phytochemicals and Antioxidant Activities (44 papers), Plant biochemistry and biosynthesis (35 papers), Phytochemistry and Biological Activities (13 papers), Plant Physiology and Cultivation Studies (12 papers), Horticultural and Viticultural Research (11 papers), Plant tissue culture and regeneration (10 papers) and Photosynthetic Processes and Mechanisms (9 papers). The work is most often cited by research in Biochemistry (1.5k citations), Molecular Biology (3.8k citations), Plant Science (1.8k citations), Biotechnology (258 citations) and Food Science (344 citations). G. Forkmann has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Stefan Martens, Karl Stich, Lothar Britsch, Heinz Saedler, Thilo C. Fischer, Gisela C. Stotz, Werner Heller, Iris Heidmann, Peter Meyer and Christian Seitz. Their work appears in journals such as Phytochemistry, Planta, Plant Science, Theoretical and Applied Genetics and Archives of Biochemistry and Biophysics.

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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