Daniel Joe Dailin

105 total papers · 2.4k total citations
61 papers, 1.5k citations indexed

About

Daniel Joe Dailin is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Daniel Joe Dailin has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Plant Science and 17 papers in Food Science. Recurrent topics in Daniel Joe Dailin's work include Microbial Metabolites in Food Biotechnology (8 papers), Probiotics and Fermented Foods (8 papers) and Plant-Microbe Interactions and Immunity (7 papers). Daniel Joe Dailin is often cited by papers focused on Microbial Metabolites in Food Biotechnology (8 papers), Probiotics and Fermented Foods (8 papers) and Plant-Microbe Interactions and Immunity (7 papers). Daniel Joe Dailin collaborates with scholars based in Malaysia, Egypt and Indonesia. Daniel Joe Dailin's co-authors include Hesham Ali El Enshasy, R. Z. Sayyed, Ni Luh Suriani, Sadaf Kalam, Anirban Basu, Iqbal Ahmad, Lai Fatt Chuah, Noshin Ilyas, Elsayed A. Elsayed and Humaira Yasmin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemosphere.

In The Last Decade

Daniel Joe Dailin

59 papers receiving 1.4k citations

Hit Papers

Recent Understanding of S... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Joe Dailin 706 344 203 186 186 61 1.5k
Qianqian Li 910 1.3× 356 1.0× 106 0.5× 294 1.6× 330 1.8× 66 1.8k
Silvia Rita Stazi 731 1.0× 256 0.7× 162 0.8× 224 1.2× 161 0.9× 54 1.7k
Zhiwei Liu 319 0.5× 262 0.8× 170 0.8× 281 1.5× 163 0.9× 75 1.4k
Vasvi Chaudhry 734 1.0× 459 1.3× 225 1.1× 173 0.9× 144 0.8× 34 1.6k
Ugo De Corato 893 1.3× 176 0.5× 107 0.5× 345 1.9× 276 1.5× 47 1.6k
Dan Zhang 627 0.9× 527 1.5× 126 0.6× 195 1.0× 251 1.3× 82 1.8k
Ashwag Shami 817 1.2× 431 1.3× 56 0.3× 215 1.2× 169 0.9× 110 1.8k
Juan Liu 732 1.0× 249 0.7× 75 0.4× 192 1.0× 232 1.2× 70 1.6k
Yang Wang 504 0.7× 297 0.9× 132 0.7× 202 1.1× 441 2.4× 54 1.5k
Federico Antonio Gutiérrez-Miceli 1000 1.4× 306 0.9× 106 0.5× 544 2.9× 277 1.5× 133 1.8k

Countries citing papers authored by Daniel Joe Dailin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Joe Dailin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Joe Dailin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Joe Dailin. A scholar is included among the top collaborators of Daniel Joe Dailin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Joe Dailin. Daniel Joe Dailin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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