Daniel Padilla

1.0k citations
57 papers · 775 · h-index 15

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
    • Vibrio bacteria research studies

Papers in

    • Aquaculture disease management and microbiota 29
    • Invertebrate Immune Response Mechanisms 9
    • Aquaculture Nutrition and Growth 12
    • Aquatic life and conservation 3

Daniel Padilla

53 papers receiving 753 citations

Peers

Daniel Padilla
Comparison fields: 5 of 79
  • Aquatic Science 190
  • Endocrinology 129
  • Immunology 392
  • Microbiology 76
  • Environmental Chemistry 75
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F. Real Spain
V. Inglis United Kingdom
Anuj Tyagi India
Cheng Chi China
Xiaozhou Qi China
Sang Guen Kim South Korea
Mingyang Xue China
Quanxin Gao China
Haitham H. Mohammed United States
Eva Vallejos‐Vidal Chile
Daniel Padilla relative to F. Real Spain F. Real's profile →
Citations per field
00.5×1.5×
F. Real · 1×
Citations per year

Countries citing papers authored by Daniel Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201198
2 201542
3 200742
4 201337
5 201037
6 201236
7 201934
8 201427
9 200326
10 200923
11 202221
12 200921
13 200520
14 201520
15 201515
16 201414
17 200814
18 200513
19 201113
20 202113

About Daniel Padilla

Daniel Padilla is a scholar working on Immunology, Aquatic Science, Endocrinology, Molecular Biology and Infectious Diseases, having authored 57 papers that have together received 775 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (29 papers), Aquaculture Nutrition and Growth (12 papers), Vibrio bacteria research studies (9 papers), Invertebrate Immune Response Mechanisms (9 papers), Marine Toxins and Detection Methods (5 papers), Neuroscience of respiration and sleep (4 papers), Microbial infections and disease research (4 papers) and Aquatic life and conservation (3 papers). The work is most often cited by research in Aquatic Science (190 citations), Endocrinology (129 citations), Immunology (392 citations), Microbiology (76 citations) and Environmental Chemistry (75 citations). Daniel Padilla has collaborated with scholars based in Spain, United Kingdom and Colombia. Frequent co-authors include F. Real, F. Acosta, Valentina Grasso, Jimena Bravo, José Ramos-Vivas, Soraya Déniz, María José Caballero, Sara Remuzgo‐Martínez, Natalia García‐Álvarez and Jorge Diogène. Their work appears in journals such as Fish & Shellfish Immunology, Animals, Journal of Applied Animal Research, Veterinary Microbiology and Journal of Fish Diseases.

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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