Juan E. Diaz

21 papers receiving 688 citations

Peers

Juan E. Diaz
Comparison fields: 5 of 103
  • Immunology 176
  • Oncology 212
  • Biotechnology 59
  • Radiology, Nuclear Medicine and Imaging 142
  • Hepatology 39
Replace Adnan O. Abu‐Yousif with:
Adnan O. Abu‐Yousif United States
Michael W. Glacken United States
Stefan Mereiter Portugal
Ben‐Fillippo Krippendorff Switzerland
Haozhe Huang China
Hong Wu China
Guifang Yang China
Kimihisa Ichikawa Japan
Zheng Han China
Juan E. Diaz relative to Adnan O. Abu‐Yousif United States Adnan O. Abu‐Yousif's profile →
Citations per field
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Adnan O. Abu‐Yousif · 1×
Citations per year

Countries citing papers authored by Juan E. Diaz

Since Specialization
Citations

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

Fields of papers citing papers by Juan E. Diaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan E. Diaz. 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 E. Diaz. The network helps show where Juan E. Diaz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016194
2 201868
3 201860
4 201157
5 198050
6 201249
7 200841
8 200833
9 202430
10 200824
11 201617
12 200917
13 202415
14 201714
15 201713
16 202412
17 20038
18
Implicit and Explicit Averaging Strategies for Simulation-Based Optimization of a Real-World Production Planning Problem
20158
19 20207
20 20096

About Juan E. Diaz

Juan E. Diaz is a scholar working on Industrial and Manufacturing Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering and Management Science and Operations Research, having authored 21 papers that have together received 729 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (3 papers), CAR-T cell therapy research (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Protein purification and stability (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Electrohydrodynamics and Fluid Dynamics (2 papers). The work is most often cited by research in Immunology (176 citations), Oncology (212 citations), Biotechnology (59 citations), Radiology, Nuclear Medicine and Imaging (142 citations) and Hepatology (39 citations). Juan E. Diaz has collaborated with scholars based in United States, United Kingdom and Ecuador. Frequent co-authors include Gregory A. Weiss, Reginald M. Penner, Li-Mei C. Yang, Theresa M. McIntire, Julia Handl, Dong‐Ling Xu, James A. Wells, Antonio Barrero, Keith C. Donavan and Alberto Fernández‐Nieves. Their work appears in journals such as Analytical Chemistry, European Journal of Operational Research, Current Issues in Molecular Biology, eLife and Immunology Letters.

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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