Daniel Acosta

5.7k citations
145 papers · 3.5k · h-index 34

Impact in

  • Small Animals top 0.5%
    • Helminth infection and control
    • Animal testing and alternatives
  • Pharmacology top 0.5%
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism

Papers in

Daniel Acosta

140 papers receiving 3.2k citations

Peers

Daniel Acosta
Comparison fields: 5 of 147
  • Small Animals 568
  • Pharmacology 615
  • Parasitology 321
  • Toxicology 87
  • Hepatology 185
Replace Takashi Umemura with:
Takashi Umemura Japan
Salah A. Sheweita Egypt
Jiunn‐Wang Liao Taiwan
Pradeep K. Dudeja United States
Daryl J. Murry United States
Radha K. Maheshwari United States
Jing Yang China
Martyna Kandefer‐Szerszeń Poland
Marion Ehrich United States
Fermín Sánchez de Medina Spain
Daniel Acosta relative to Takashi Umemura Japan Takashi Umemura's profile →
Citations per field
00.5×7.3×
Takashi Umemura · 1×
Citations per year

Countries citing papers authored by Daniel Acosta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Acosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980206
2 1999165
3 1992125
4 1998108
5 1978100
6 198592
7 200782
8 200879
9 201165
10 198964
11 198064
12 199457
13 197457
14 197853
15 197852
16 199352
17 199751
18 200751
19 198349
20 199049

About Daniel Acosta

Daniel Acosta is a scholar working on Molecular Biology, Pharmacology, Pathology and Forensic Medicine, Small Animals and Pharmacology, having authored 145 papers that have together received 3.5k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (22 papers), Pharmacogenetics and Drug Metabolism (22 papers), Cardiac Ischemia and Reperfusion (19 papers), Coccidia and coccidiosis research (12 papers), Helminth infection and control (12 papers), Liver physiology and pathology (10 papers), Drug Transport and Resistance Mechanisms (8 papers) and Carcinogens and Genotoxicity Assessment (8 papers). The work is most often cited by research in Small Animals (568 citations), Pharmacology (615 citations), Parasitology (321 citations), Toxicology (87 citations) and Hepatology (185 citations). Daniel Acosta has collaborated with scholars based in United States, Spain and Uruguay. Frequent co-authors include David Mitchell, Roberta L. Grant, David C. Anuforo, Kenneth S. Santone, Elsie M. B. Sorensen, Robert V. Smith, Carlos Carmona, Julio C. Dávila, James V. Bruckner and Kenneth S. Ramos. Their work appears in journals such as Toxicology, Toxicology Letters, Journal of Toxicology and Environmental Health, Biochemical Pharmacology and Toxicology in Vitro.

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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