Daniela Ledezma-Tejeida

1.3k citations
8 papers · 401 indexed · h-index 7
    • Bacterial Genetics and Biotechnology 6
    • Microbial Metabolic Engineering and Bioproduction 4
    • Genomics and Phylogenetic Studies 3
    • Gene Regulatory Network Analysis 3
    • Bioinformatics and Genomic Networks 2
    • RNA and protein synthesis mechanisms 1
    • Microbial Community Ecology and Physiology 2
    • Legume Nitrogen Fixing Symbiosis 1

Daniela Ledezma-Tejeida

8 papers receiving 401 citations

Peers

Daniela Ledezma-Tejeida
Comparison fields: 5 of 68
  • Genetics 164
  • Molecular Biology 338
  • Endocrinology 18
  • Molecular Medicine 17
  • Ecology 61
Replace Rajendran Harinarayanan with:
Rajendran Harinarayanan India
Emanuele Leoncini United States
Rohan Balakrishnan United States
Razika Hussein United States
Anna Podgornaia United States
Vanina García Spain
Magdalena Rajewska Poland
Kei Kitahara Japan
Pradeep Parrack India
Huihuang Yan United States
Daniela Ledezma-Tejeida relative to Rajendran Harinarayanan India Rajendran Harinarayanan's profile →
Citations per field
00.5×5.6×
Rajendran Harinarayanan · 1×
Citations per year

Countries citing papers authored by Daniela Ledezma-Tejeida

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ledezma-Tejeida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Ledezma-Tejeida. 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 Daniela Ledezma-Tejeida. The network helps show where Daniela Ledezma-Tejeida may publish in the future.

Co-authorship network

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

All Works

8 of 8 papers shown
#Work
1 202260
2 20224
3 20219
4 20196
5 2018242
6 201710
7 201542
8 201328

About Daniela Ledezma-Tejeida

Daniela Ledezma-Tejeida is a scholar working on Genetics, Molecular Biology and Ecology, having authored 8 papers that have together received 401 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Genomics and Phylogenetic Studies (3 papers), Gene Regulatory Network Analysis (3 papers), Microbial Community Ecology and Physiology (2 papers), Bioinformatics and Genomic Networks (2 papers), Legume Nitrogen Fixing Symbiosis (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (164 citations), Molecular Biology (338 citations) and Endocrinology (18 citations). Daniela Ledezma-Tejeida has collaborated with scholars based in Mexico, United States and Switzerland. Frequent co-authors include Julio Collado‐Vides, Socorro Gama‐Castro, César Bonavides-Martínez, Luis Muñiz-Rascado, James E. Galagan, Jair Santiago García-Sotelo, David A. Velázquez-Ramírez, Carlos-Francisco Méndez-Cruz, Laura Gómez-Romero and Heladia Salgado. Their work appears in journals such as Nucleic Acids Research, Science Advances and Frontiers in 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026