G. Raval

575 citations
21 papers · 485 · h-index 9

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 5
    • Enzyme Catalysis and Immobilization 4
    • Steroid Chemistry and Biochemistry 4
    • Enzyme function and inhibition 2
    • Biofuel production and bioconversion 8

G. Raval

20 papers receiving 442 citations

Peers

G. Raval
Comparison fields: 5 of 58
  • Biomedical Engineering 351
  • Biotechnology 56
  • Molecular Biology 394
  • Nutrition and Dietetics 61
  • Building and Construction 51
Replace Jana Zigová with:
Jana Zigová Slovakia
Régis Nouaille France
Matthias Gottwald Germany
Abbas Scharif Afschar Germany
Jung Ae Im South Korea
Lynda S. Lacis Canada
Daniele Misturini Rossi Brazil
Sadazo Yoshino Japan
Ruchir P. Desai United States
Sunhoon Kwon South Korea
G. Raval relative to Jana Zigová Slovakia Jana Zigová's profile →
Citations per field
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Jana Zigová · 1×
Citations per year

Countries citing papers authored by G. Raval

Since Specialization
Citations

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

Fields of papers citing papers by G. Raval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside G. Raval, 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. Raval Line = papers co-authored together G. Raval links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985114
2 1995105
3 197690
4 199647
5 198347
6 199517
7 199110
8 199210
9 19938
10 19957
11 19785
12 19784
13 19944
14 19993
15 19783
16 19753
17 19803
18 19922
19 19741
20 19801

About G. Raval

G. Raval is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Nutrition and Dietetics and Pharmacology, having authored 21 papers that have together received 485 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Enzyme Catalysis and Immobilization (4 papers), Steroid Chemistry and Biochemistry (4 papers), Enzyme Production and Characterization (4 papers), Microbial Metabolites in Food Biotechnology (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Enzyme function and inhibition (2 papers). The work is most often cited by research in Biomedical Engineering (351 citations), Biotechnology (56 citations), Molecular Biology (394 citations), Nutrition and Dietetics (61 citations) and Building and Construction (51 citations). G. Raval has collaborated with scholars based in France, Canada and Morocco. Frequent co-authors include H. Petitdemange, Robert Gay, Samir Abbad Andaloussi, E. Petitdemange, Robert Gay, Éric Gelhaye, G. Lefebvre, Lori K. Benoit, Salvador Vallés and F. Schneider. Their work appears in journals such as Current Microbiology, Biochimica et Biophysica Acta (BBA) - General Subjects, Biomass and Bioenergy, Applied and Environmental Microbiology and Canadian Journal of Microbiology.

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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