Juan‐Carlos Sigala

424 citations
30 papers · 329 indexed · h-index 11

Juan‐Carlos Sigala

29 papers receiving 323 citations

Peers

Juan‐Carlos Sigala
Comparison fields: 5 of 56
  • Genetics 131
  • Molecular Biology 260
  • Biochemistry 27
  • Molecular Medicine 13
  • Cell Biology 42
Replace Joep Schothorst with:
Joep Schothorst Belgium
Yanli Qi China
Elena A. Mordukhova South Korea
J. Náprstek Czechia
Gabriela I. Guzmán Denmark
Jung-Gun Kim South Korea
Christian Pernstich United Kingdom
Stephan Hans Germany
Fairoz Mat-Jan United States
Kåre Haugan Norway
Juan‐Carlos Sigala relative to Joep Schothorst Belgium Joep Schothorst's profile →
Citations per field
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Joep Schothorst · 1×
Citations per year

Countries citing papers authored by Juan‐Carlos Sigala

Since Specialization
Citations

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

Fields of papers citing papers by Juan‐Carlos Sigala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan‐Carlos Sigala. 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 Juan‐Carlos Sigala. The network helps show where Juan‐Carlos Sigala may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20240
4 20231
5 20226
6 202110
7 20208
8 201913
9 201932
10 20194
11 20197
12 20176
13 201713
14
CO-UTILIZATION OF GLUCOSE AND XYLOSE INCREASES GROWTH RATE WITHOUT AFFECTING PLASMID DNA YIELD OF ENGINEERED E. coli
20141
15 201425
16 20143
17 200923
18 200824
19 200733
20 200522

About Juan‐Carlos Sigala

Juan‐Carlos Sigala is a scholar working on Molecular Medicine, Genetics and Cell Biology, having authored 30 papers that have together received 329 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (16 papers), Bacterial Genetics and Biotechnology (13 papers), Hemoglobin structure and function (5 papers), Biofuel production and bioconversion (5 papers), Amino Acid Enzymes and Metabolism (3 papers), Bacteriophages and microbial interactions (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Genetics (131 citations), Molecular Biology (260 citations) and Biochemistry (27 citations). Juan‐Carlos Sigala has collaborated with scholars based in Mexico, Germany and Denmark. Frequent co-authors include Alvaro R. Lara, Guillermo Gosset, Noemí Flores, Francisco Bolívar, Alfredo Martı́nez, Sylvie Le Borgne, R. Anda, Salvador Flores, Daniel Segura and Octavio T. Ramı́rez. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Microbiology and 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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