Daniel Assan

420 citations
12 papers · 285 · h-index 8

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
  • Physiology top 10%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Reproductive biology and impacts on aquatic species 5
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
    • Animal Genetics and Reproduction 2

Daniel Assan

12 papers receiving 283 citations

Peers

Daniel Assan
Comparison fields: 5 of 54
  • Aquatic Science 167
  • Physiology 48
  • Immunology 100
  • Endocrine and Autonomic Systems 22
  • Genetics 54
Replace Natàlia Riera‐Heredia with:
Natàlia Riera‐Heredia Spain
Miquel Perelló-Amorós Spain
Ricardo Zerolo Spain
Kenneth Overturf United States
Gyung‐Suk Kil South Korea
Muhammad Badruzzaman Japan
Marc J. Turano United States
María Paula Di Yorio Argentina
Liyuan Lv China
Leo Nankervis Australia
Daniel Assan relative to Natàlia Riera‐Heredia Spain Natàlia Riera‐Heredia's profile →
Citations per field
00.5×1.5×2.3×
Natàlia Riera‐Heredia · 1×
Citations per year

Countries citing papers authored by Daniel Assan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Assan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel Assan, 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 Assan Line = papers co-authored together Daniel Assan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202196
2 202174
3 202138
4 202123
5 202213
6 202013
7 20227
8 20227
9 20235
10 20224
11 20233
12 20202

About Daniel Assan

Daniel Assan is a scholar working on Physiology, Genetics, Cellular and Molecular Neuroscience, Aquatic Science and Endocrine and Autonomic Systems, having authored 12 papers that have together received 285 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Regulation of Appetite and Obesity (3 papers), Aquaculture Nutrition and Growth (3 papers), Neuropeptides and Animal Physiology (3 papers), Animal Genetics and Reproduction (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Healthcare and Venom Research (1 paper). The work is most often cited by research in Aquatic Science (167 citations), Physiology (48 citations), Immunology (100 citations), Endocrine and Autonomic Systems (22 citations) and Genetics (54 citations). Daniel Assan has collaborated with scholars based in China, Ghana and Czechia. Frequent co-authors include Umar Farouk Mustapha, Huapu Chen, Guangli Li, Vivian Hlordzi, Emmanuel Delwin Abarike, Jan Mráz, Zhiyuan Li, Dongneng Jiang, Yuanqing Huang and Yang Huang. Their work appears in journals such as Frontiers in Marine Science, Animals, Life, Aquaculture Reports and Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology.

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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