María Díaz‐González

1.3k citations
39 papers · 1.1k indexed · h-index 20
Topics
Biosensors and Analytical Detection (12 papers)Advanced biosensing and bioanalysis techniques (11 papers)Electrochemical sensors and biosensors (9 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryACS Applied Materials & Interfaces
Partner nations
SpainAustriaRomania

In The Last Decade

María Díaz‐González

38 papers receiving 1.0k citations

Peers

María Díaz‐González
Comparison fields: 5 of 90
  • Biomedical Engineering 446
  • Molecular Biology 395
  • Electrical and Electronic Engineering 314
  • Materials Chemistry 221
  • Electrochemistry 152
Replace Asieh Soozanipour with:
Asieh Soozanipour Iran
Feier Bai China
Christoph Sygmund Austria
Sonam Sonwal South Korea
Xiaoling Lei China
Gaurav Pandey India
Yishan Fang China
Sharina Abu Hanifah Malaysia
Beatríz López-Ruíz Spain
Martín A. Fernández‐Baldo Argentina
María Díaz‐González relative to Asieh Soozanipour Iran Asieh Soozanipour's profile →
Citations per field
00.5×3.6×
Asieh Soozanipour · 1×
Citations per year

Countries citing papers authored by María Díaz‐González

Since Specialization
Citations

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

Fields of papers citing papers by María Díaz‐González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Díaz‐González. 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 María Díaz‐González. The network helps show where María Díaz‐González may publish in the future.

Co-authorship network of co-authors of María Díaz‐González

This figure shows the co-authorship network connecting the top 25 collaborators of María Díaz‐González. A scholar is included among the top collaborators of María Díaz‐González based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María Díaz‐González. María Díaz‐González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 19
3 2
4 17
5 9
6 50
7 9
8 17
9 7
10 14
11 3
12 18
13 40
14 23
15 45
16 31
17 35
18 58
19 51
20 14

About María Díaz‐González

María Díaz‐González is a scholar working on Bioengineering, Electrochemistry and Biotechnology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (12 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Electrochemical sensors and biosensors (9 papers). The work is most often cited by research in Electrochemistry (152 citations), Bioengineering (120 citations) and Biotechnology (97 citations). María Díaz‐González has collaborated with scholars based in Spain, Austria and Romania. Frequent co-authors include Agustín Costa‐García, María Begoña González‐García, Tzanko Tzanov, César Fernández‐Sánchez, Alfredo de la Escosura‐Muñiz, Antonio Baldi, David Hernández‐Santos, Gaffar Hossain, Teresa Vidal and S. Villar–Rodil. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and ACS Applied Materials & Interfaces.

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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