G. Perbal

526 citations
19 papers · 451 · h-index 11

Impact in

  • Physiology top 2%
    • Magnetic and Electromagnetic Effects
    • Spaceflight effects on biology
    • Plant Molecular Biology Research
    • Light effects on plants
    • Plant nutrient uptake and metabolism
    • Plant Stress Responses and Tolerance
    • Plant and Biological Electrophysiology Studies

Papers in

    • Plant Molecular Biology Research 13
    • Plant nutrient uptake and metabolism 3
    • Light effects on plants 3
    • Plant Reproductive Biology 8
    • Plant tissue culture and regeneration 2

G. Perbal

19 papers receiving 435 citations

Peers

G. Perbal
Comparison fields: 5 of 35
  • Physiology 136
  • Plant Science 369
  • Physiology 70
  • Molecular Biology 198
  • Aging 5
Replace Motoshi Kamada with:
Motoshi Kamada Japan
Emmanuel Hilaire United States
Stephen C. Stout United States
H. M. Behrens Germany
Haruo Kasahara Japan
Eric R. Schultz United States
Huiqiong Zheng China
Chris Wolverton United States
Isabel Matı́a Spain
Eugénie Carnero-Díaz France
G. Perbal relative to Motoshi Kamada Japan Motoshi Kamada's profile →
Citations per field
00.5×1.7×
Motoshi Kamada · 1×
Citations per year

Countries citing papers authored by G. Perbal

Since Specialization
Citations

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

Fields of papers citing papers by G. Perbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside G. Perbal, 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. Perbal Line = papers co-authored together G. Perbal links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1997181
2 199454
3 200041
4 199924
5 199920
6 199919
7 198618
8 199916
9 199414
10 199513
11 199412
12 198710
13 198610
14 19968
15 19843
16 19943
17 19943
18 20051
19 19981

About G. Perbal

G. Perbal is a scholar working on Plant Science, Molecular Biology, Physiology, Cell Biology and Physiology, having authored 19 papers that have together received 451 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Magnetic and Electromagnetic Effects (10 papers), Plant Reproductive Biology (8 papers), Plant nutrient uptake and metabolism (3 papers), Spaceflight effects on biology (3 papers), Light effects on plants (3 papers), Plant tissue culture and regeneration (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Physiology (136 citations), Plant Science (369 citations), Physiology (70 citations), Molecular Biology (198 citations) and Aging (5 citations). G. Perbal has collaborated with scholars based in France and Norway. Frequent co-authors include D. Driss‐Ecole, Valérie Legué, Elison B. Blancaflor, Simon Gilroy, Carol L. Wymer, Jawad Aarrouf, Bernard Jeune, Jacques Rembur, R. Maldiney and D Schoëvaërt. Their work appears in journals such as Physiologia Plantarum, Advances in Space Research, Planta, Environmental and Experimental Botany 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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