Jyoti Kapila

1.1k citations
8 papers · 814 indexed · 1 hit paper · h-index 7
Topics
Plant tissue culture and regeneration (4 papers)Transgenic Plants and Applications (3 papers)CRISPR and Genetic Engineering (2 papers)
Journals
SHILAP Revista de lepidopterologíaThe Plant JournalEuropean Journal of Biochemistry
Partner nations
BelgiumCzechiaGermany

In The Last Decade

Jyoti Kapila

8 papers receiving 771 citations

Hit Papers

An Agrobacterium-mediated transient gene expression syste...19972026200620161997100200300400500

Peers

Jyoti Kapila
Comparison fields: 5 of 49
  • Molecular Biology 639
  • Plant Science 469
  • Biotechnology 462
  • Immunology 115
  • Nutrition and Dietetics 31
Replace Fred A. van Engelen with:
Fred A. van Engelen Netherlands
Eugenia Barros South Africa
R. Deblaere Belgium
Meriem Benchabane Canada
Leslie M. Hoffman United States
Nausicaä Lannoo Belgium
Giovanni R. Vianna Brazil
Marie‐Claire Goulet Canada
Wim G. Dirkse Netherlands
Andrea Pompa Italy
Jyoti Kapila relative to Fred A. van Engelen Netherlands Fred A. van Engelen's profile →
Citations per field
00.5×6.3×
Fred A. van Engelen · 1×
Citations per year

Countries citing papers authored by Jyoti Kapila

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Kapila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Kapila

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Kapila. A scholar is included among the top collaborators of Jyoti Kapila based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jyoti Kapila. Jyoti Kapila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 7
2 37
3 8
4
Strategies for improving the nutritional quality of Phaseolus beans through gene engineering
6
5 69
6 123
7
An Agrobacterium-mediated transient gene expression system for intact leavesbreakdown →
559
8 5

About Jyoti Kapila

Jyoti Kapila is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 8 papers that have together received 814 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (4 papers), Transgenic Plants and Applications (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biotechnology (462 citations), Plant Science (469 citations) and Molecular Biology (639 citations). Jyoti Kapila has collaborated with scholars based in Belgium, Czechia and Germany. Frequent co-authors include Geert Angenon, Marc Van Montagu, Riet De Rycke, Mukund Zambre, Willy Dillen, Janniek De Clercq, Han Asard, Wim Verelst, Geert De Jaeger and Tom Gerats. Their work appears in journals such as SHILAP Revista de lepidopterología, The Plant Journal and European Journal of Biochemistry.

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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