F. Valle

540 citations
22 papers · 442 · h-index 12

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 3
    • Enzyme Catalysis and Immobilization 2
    • RNA and protein synthesis mechanisms 2
    • Bacterial Genetics and Biotechnology 8

F. Valle

21 papers receiving 429 citations

Peers

F. Valle
Comparison fields: 5 of 73
  • Biochemistry 49
  • Biotechnology 39
  • Genetics 122
  • Molecular Biology 284
  • Strategy and Management 31
Replace Xiaoqun Nie with:
Xiaoqun Nie China
Sharon Mendel United Kingdom
Bunsei Kawakami Japan
F. Scheffel Germany
K. T. Atherton United Kingdom
Jacques Dietrich France
Burkhard Wilms Switzerland
Ryota Hidese Japan
Norbert Peekhaus United States
R. Fass United States
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Citations per field
00.5×10×15.5×
Xiaoqun Nie · 1×
Citations per year

Countries citing papers authored by F. Valle

Since Specialization
Citations

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

Fields of papers citing papers by F. Valle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Valle, 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 F. Valle Line = papers co-authored together F. Valle 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 199593
2 200169
3 199338
4 200133
5 199730
6 198630
7 199722
8 199220
9 201319
10 199618
11 198814
12 199913
13 200111
14 20247
15 20246
16 20244
17 19944
18
Molecular cloning of the gene that codes for the pyruvate kinase of Bacillus subtilis: primary characterization of a strain carrying this gene insertionally inactivated.
20004
19 20243
20 20242

About F. Valle

F. Valle is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 442 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Enzyme Structure and Function (6 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Bacteriophages and microbial interactions (3 papers), Enzyme Catalysis and Immobilization (2 papers), Amino Acid Enzymes and Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Biochemistry (49 citations), Biotechnology (39 citations), Genetics (122 citations), Molecular Biology (284 citations) and Strategy and Management (31 citations). F. Valle has collaborated with scholars based in Mexico, Italy and United States. Frequent co-authors include Francisco Bolívar, Alfredo Martı́nez, Noemí Flores, Guillermo Gosset, Alfonso Gambardella, Enrique Merino, Octavio T. Ramı́rez, Jorge Olmos, Gretchen D. Oliver and Bruno Mendes Tenório. Their work appears in journals such as Applied Microbiology and Biotechnology, Gene, Talanta, R and D Management and Journal of Industrial Microbiology & Biotechnology.

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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