An Q Dinh

2.0k total citations · 1 hit paper
40 papers, 797 citations indexed

About

An Q Dinh is a scholar working on Infectious Diseases, Molecular Medicine and Epidemiology. According to data from OpenAlex, An Q Dinh has authored 40 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 18 papers in Molecular Medicine and 14 papers in Epidemiology. Recurrent topics in An Q Dinh's work include Antibiotic Resistance in Bacteria (18 papers), Antimicrobial Resistance in Staphylococcus (18 papers) and Bacterial Identification and Susceptibility Testing (12 papers). An Q Dinh is often cited by papers focused on Antibiotic Resistance in Bacteria (18 papers), Antimicrobial Resistance in Staphylococcus (18 papers) and Bacterial Identification and Susceptibility Testing (12 papers). An Q Dinh collaborates with scholars based in United States, Colombia and Chile. An Q Dinh's co-authors include Somya D. Mohanty, César A. Arias, Blake Hanson, Truc T. Tran, William R. Miller, Rafael Ríos, Lorena Díaz, Ayesha Khan, Audrey Wanger and José M. Munita and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

An Q Dinh

37 papers receiving 776 citations

Hit Papers

A data-driven approach to predicting diabetes and cardiov... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

An Q Dinh
Comparison fields: 5 of 106
  • Molecular Medicine 278
  • Infectious Diseases 197
  • Epidemiology 160
  • Health Information Management 159
  • Molecular Biology 141
Replace Lu-Cheng Kuo with:
Lu-Cheng Kuo Taiwan
Mariano Bernardo Italy
Masayuki Nigo United States
Carlos Palos Portugal
Emanuela Sozio Italy
Mahableshwar Albur United Kingdom
Mohammad Javad Hosseini Iran
Min Hyuk Choi South Korea
Nenad Maćešić Australia
Shravan Kethireddy United States
Lu-Cheng Kuo Taiwan View profile →
Citations per field, relative to An Q Dinh
An Q Dinh · 1×
Citations per year, relative to An Q Dinh
An Q Dinh · 1×

Countries citing papers authored by An Q Dinh

Since Specialization
Citations

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

Fields of papers citing papers by An Q Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by An Q Dinh. 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 An Q Dinh. The network helps show where An Q Dinh may publish in the future.

Co-authorship network of co-authors of An Q Dinh

This figure shows the co-authorship network connecting the top 25 collaborators of An Q Dinh. A scholar is included among the top collaborators of An Q Dinh 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 An Q Dinh. An Q Dinh 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
# Work Indexed citations
1 1
2 10
3 3
4 0
5 1
6 25
7 3
8 2
9 0
10 7
11 38
12 12
13 40
14 0
15
A data-driven approach to predicting diabetes and cardiovascular disease with machine learning breakdown →
275
16 45
17 1
18 4
19 20
20 39

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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