Gerard Esteban

16 papers receiving 937 citations

Peers

Gerard Esteban
Comparison fields: 5 of 89
  • Pharmacology 671
  • Computational Theory and Mathematics 434
  • Complementary and alternative medicine 123
  • Organic Chemistry 350
  • Physiology 241
Replace María Isabel Fernández‐Bachiller with:
María Isabel Fernández‐Bachiller Spain
Elena Simoni Italy
Ankit Seth India
Zonghua Luo United States
Avanish Tripathi India
Pavan Srivastava India
Xiaoming Qiang China
Tarek Mohamed Canada
Nasimul Hoda India
Farshad Homayouni Moghadam Iran
Gerard Esteban relative to María Isabel Fernández‐Bachiller Spain María Isabel Fernández‐Bachiller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gerard Esteban

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Esteban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2016151
2 2014127
3 2016125
4 2014116
5 201587
6 201665
7 201161
8 201451
9 201445
10 199930
11 201623
12 199923
13 201519
14 201212
15 201512
16 201710

About Gerard Esteban

Gerard Esteban is a scholar working on Pharmacology, Computational Theory and Mathematics, Physiology, Organic Chemistry and Molecular Biology, having authored 16 papers that have together received 957 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (7 papers), Alzheimer's disease research and treatments (6 papers), Microbial metabolism and enzyme function (2 papers), Platelet Disorders and Treatments (2 papers), Medicinal Plants and Neuroprotection (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Biochemical Acid Research Studies (2 papers). The work is most often cited by research in Pharmacology (671 citations), Computational Theory and Mathematics (434 citations), Complementary and alternative medicine (123 citations), Organic Chemistry (350 citations) and Physiology (241 citations). Gerard Esteban has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Mercedes Unzeta, José Marco‐Contelles, Irene Bolea, Abdelouahid Samadi, Ignacio Moraleda, Isabel Iriepa, Rona R. Ramsay, Danica Agbaba, Katarina Nikolić and Moussa B. H. Youdim. Their work appears in journals such as European Journal of Medicinal Chemistry, Frontiers in Neuroscience, Transfusion, Journal of Pharmacy and Pharmacology and Bioorganic & Medicinal Chemistry.

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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