Daniela Gutiérrez

527 citations
23 papers · 326 · h-index 12

Impact in

Papers in

Daniela Gutiérrez

22 papers receiving 320 citations

Peers

Daniela Gutiérrez
Comparison fields: 5 of 80
  • Endocrinology 55
  • Sensory Systems 32
  • Speech and Hearing 23
  • Molecular Medicine 16
  • Infectious Diseases 41
Replace Chieko Mitsuhata with:
Chieko Mitsuhata Japan
Stefan Duscha Switzerland
Yonggang Zhao China
Neil Manwaring Australia
William J. Tate United States
Brandon K. Tan United States
Huiyi Chen China
M. Asrafuzzaman Riyadh United States
Mengnan Lu China
Daniela Gutiérrez relative to Chieko Mitsuhata Japan Chieko Mitsuhata's profile →
Citations per field
00.5×11.5×
Chieko Mitsuhata · 1×
Citations per year

Countries citing papers authored by Daniela Gutiérrez

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gutiérrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201253
2 201233
3 201931
4 201431
5 200721
6 202017
7 202015
8 201715
9 201514
10 201914
11 201612
12 202311
13 201111
14 202110
15 20239
16 20159
17 20247
18 20134
19 20184
20 20122

About Daniela Gutiérrez

Daniela Gutiérrez is a scholar working on Infectious Diseases, Endocrinology, Molecular Biology, Oncology and Physiology, having authored 23 papers that have together received 326 indexed citations. Recurring topics across this work include Escherichia coli research studies (4 papers), Alzheimer's disease research and treatments (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Metal complexes synthesis and properties (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Endocrinology (55 citations), Sensory Systems (32 citations), Speech and Hearing (23 citations), Molecular Medicine (16 citations) and Infectious Diseases (41 citations). Daniela Gutiérrez has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Jorge Caro, Alejandra Álvarez, Roberto Vidal, David A. Montero, Julia Palma, Felipe Del Canto, A Zepeda, Ángel Oñate, Juan M. Saavedra and Teresa Massardo. Their work appears in journals such as Infection and Immunity, Computational and Structural Biotechnology Journal, Frontiers in Genetics, BMC Biology and The Laryngoscope.

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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