Iván Bravo

103 papers receiving 1.9k citations

Iván Bravo's Hit Papers

Integrating artificial intelligence in drug discovery and early drug development: a transformative approach 2025 · 56 citations
560Years since publication1020304050

Peers

Iván Bravo
Comparison fields: 5 of 142
  • Atmospheric Science 538
  • Biomaterials 284
  • Health, Toxicology and Mutagenesis 221
  • Spectroscopy 215
  • Pharmaceutical Science 51
Replace Yanli Li with:
Yanli Li China
Qian Liu China
Michael Groessl Switzerland
Dongxu Zhao China
Liming Huang China
Jiarong Li China
Yi‐Lei Zhao China
Yibing Zhao China
Béla Viskolcz Hungary
Art E. Cho South Korea
Iván Bravo relative to Yanli Li China Yanli Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iván Bravo

Since Specialization
Citations

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

Fields of papers citing papers by Iván Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201092
2 201186
3 202083
4 202081
5 202076
6 202062
7
Integrating artificial intelligence in drug discovery and early drug development: a transformative approach
Hit paper breakdown →
202556
8 201955
9 201049
10 200145
11 201944
12 201943
13 201143
14 202141
15 201141
16 196838
17 201233
18 202232
19 201329
20 200727

About Iván Bravo

Iván Bravo is a scholar working on Atmospheric Science, Molecular Biology, Materials Chemistry, Organic Chemistry and Oncology, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (25 papers), Atmospheric Ozone and Climate (18 papers), Luminescence and Fluorescent Materials (12 papers), Air Quality and Health Impacts (8 papers), Nanoparticle-Based Drug Delivery (8 papers), Metal complexes synthesis and properties (8 papers), Pregnancy and preeclampsia studies (7 papers) and Spectroscopy and Laser Applications (7 papers). The work is most often cited by research in Atmospheric Science (538 citations), Biomaterials (284 citations), Health, Toxicology and Mutagenesis (221 citations), Spectroscopy (215 citations) and Pharmaceutical Science (51 citations). Iván Bravo has collaborated with scholars based in Spain, Chile and United Kingdom. Frequent co-authors include Carlos Alonso‐Moreno, Alfonso Aranda, Yolanda Díaz-de-Mera, Alberto Ocaña, Ana Rodrı́guez, Andrés Garzón‐Ruiz, Alberto Juan, Diana Rodrı́guez, José Albaladejo and Alberto Notario. Their work appears in journals such as Atmospheric Environment, Physical Chemistry Chemical Physics, The Journal of Physical Chemistry C, Pharmaceutics and Environmental Science and Pollution Research.

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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