Michael González‐Durruthy

583 citations
41 papers · 438 indexed · h-index 13

Michael González‐Durruthy

40 papers receiving 436 citations

Peers

Michael González‐Durruthy
Comparison fields: 5 of 93
  • Computational Theory and Mathematics 70
  • Biomaterials 52
  • Materials Chemistry 146
  • Biomedical Engineering 105
  • Health, Toxicology and Mutagenesis 32
Replace Xu He with:
Xu He China
Ping Men China
Mohammad Ibrahim Pakistan
Sarmistha Halder Sinha United States
Soumendra Darbar India
Azadeh Hekmat Iran
Fang Hao China
Muthuraj Balakrishnan India
Antonella Capuozzo Italy
Hirofumi Tsujino Japan
Michael González‐Durruthy relative to Xu He China Xu He's profile →
Citations per field
00.5×2.8×
Xu He · 1×
Citations per year

Countries citing papers authored by Michael González‐Durruthy

Since Specialization
Citations

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

Fields of papers citing papers by Michael González‐Durruthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20240
4 20241
5 202311
6 20216
7 20215
8 202013
9 201917
10 201911
11 201910
12 201911
13 201821
14 20186
15 201715
16 201711
17 201722
18 201713
19 201613
20 201433

About Michael González‐Durruthy

Michael González‐Durruthy is a scholar working on Computational Theory and Mathematics, Aging and Molecular Medicine, having authored 41 papers that have together received 438 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Interaction Studies and Fluorescence Analysis (10 papers), ATP Synthase and ATPases Research (7 papers), Protein Structure and Dynamics (4 papers), Surfactants and Colloidal Systems (4 papers), Electrochemical sensors and biosensors (4 papers), Carbon Nanotubes in Composites (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (70 citations), Biomaterials (52 citations) and Materials Chemistry (146 citations). Michael González‐Durruthy has collaborated with scholars based in Spain, Brazil and Portugal. Frequent co-authors include Juan M. Ruso, Ramón Rial, M. Natália D. S. Cordeiro, Humberto González‐Díaz, José María Monserrat, Zhen Liu, Luciane C. Alberici, Carlos Curti, Cristian R. Munteanu and Riccardo Concu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

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