A. Kapat

769 citations
22 papers · 647 · h-index 12

Impact in

Papers in

    • Studies on Chitinases and Chitosanases 5
    • Enzyme Catalysis and Immobilization 2
    • 14-3-3 protein interactions 1
    • Enzyme Production and Characterization 5

A. Kapat

22 papers receiving 565 citations

Peers

A. Kapat
Comparison fields: 5 of 82
  • Biotechnology 101
  • Cell Biology 155
  • Plant Science 345
  • Molecular Medicine 25
  • Molecular Biology 279
Replace Harushi Nakajima with:
Harushi Nakajima Japan
Karl-Ludwig Schimz Germany
Zichao Mao China
Feng-Chia Hsieh Taiwan
Marina Kimiko Kadowaki Brazil
José Augusto Ramírez‐Trujillo Mexico
Zhu‐Mei He China
Raviraj M. Kalunke Italy
Dinesh Pandey India
Mohammad Reza Zamani Iran
A. Kapat relative to Harushi Nakajima Japan Harushi Nakajima's profile →
Citations per field
00.5×4.3×
Harushi Nakajima · 1×
Citations per year

Countries citing papers authored by A. Kapat

Since Specialization
Citations

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

Fields of papers citing papers by A. Kapat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999210
2 202387
3 199864
4 199638
5
Trichoderma harzianum T39 - mechanisms of biocontrol of foliar pathogens.
199933
6 199833
7 200132
8 199829
9 199724
10 199815
11 199613
12 200312
13 200011
14 20039
15 20009
16
Bioprocess Optimization - A Challenge
19977
17 19987
18 20006
19 19963
20 19962

About A. Kapat

A. Kapat is a scholar working on Molecular Biology, Biotechnology, Biomedical Engineering, Plant Science and Surgery, having authored 22 papers that have together received 647 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (6 papers), Enzyme Production and Characterization (5 papers), Studies on Chitinases and Chitosanases (5 papers), Enzyme Catalysis and Immobilization (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Electrochemical sensors and biosensors (2 papers), Postharvest Quality and Shelf Life Management (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Biotechnology (101 citations), Cell Biology (155 citations), Plant Science (345 citations), Molecular Medicine (25 citations) and Molecular Biology (279 citations). A. Kapat has collaborated with scholars based in India, South Korea and Israel. Frequent co-authors include Yigal Elad, Gilly Zimand, T. Panda, Sudip Kumar Rakshit, Larry Croft, Eugene Athan, Cenk Suphioglu, Peter L. Beech, Y.-H. Park and Suman Kr Dey. Their work appears in journals such as Bioprocess and Biosystems Engineering, Biotechnology Letters, Journal of Applied Microbiology, World Journal of Microbiology and Biotechnology and European Journal of Plant Pathology.

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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