Javier Robalino

16 total papers · 1.3k total citations
14 papers, 1.0k citations indexed

About

Javier Robalino is a scholar working on Immunology, Insect Science and Molecular Biology. According to data from OpenAlex, Javier Robalino has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Insect Science and 3 papers in Molecular Biology. Recurrent topics in Javier Robalino's work include Invertebrate Immune Response Mechanisms (8 papers), Insect symbiosis and bacterial influences (6 papers) and Aquaculture disease management and microbiota (6 papers). Javier Robalino is often cited by papers focused on Invertebrate Immune Response Mechanisms (8 papers), Insect symbiosis and bacterial influences (6 papers) and Aquaculture disease management and microbiota (6 papers). Javier Robalino collaborates with scholars based in United States, Taiwan and Canada. Javier Robalino's co-authors include Gregory W. Warr, Paul S. Gross, Craig L. Browdy, Robert Chapman, Pamela G. Parnell, Nuala A. O’Leary, Enrique de la Vega, Edward D. Scura, Bhavesh Joshi and Rosemary Jagus and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Javier Robalino

14 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Javier Robalino 833 319 281 139 121 14 1.0k
Xiu-Zhen Shi 698 0.8× 208 0.7× 225 0.8× 99 0.7× 131 1.1× 30 897
Yi-Hong Chen 909 1.1× 245 0.8× 236 0.8× 195 1.4× 96 0.8× 38 1.1k
Yong-Gui Chen 678 0.8× 216 0.7× 162 0.6× 149 1.1× 59 0.5× 24 823
Zhi-Xin Yin 1.1k 1.3× 212 0.7× 253 0.9× 211 1.5× 197 1.6× 21 1.2k
Sureerat Tang 1.0k 1.2× 202 0.6× 216 0.8× 351 2.5× 239 2.0× 20 1.2k
Anuphap Prachumwat 641 0.8× 352 1.1× 161 0.6× 263 1.9× 38 0.3× 22 1.1k
Qian Wang 586 0.7× 319 1.0× 249 0.9× 42 0.3× 191 1.6× 20 939
Pia Keyser 762 0.9× 150 0.5× 175 0.6× 265 1.9× 74 0.6× 7 998
Concepción Agundis 657 0.8× 198 0.6× 136 0.5× 188 1.4× 65 0.5× 43 856
Michel Comps 520 0.6× 146 0.5× 73 0.3× 137 1.0× 120 1.0× 23 823

Countries citing papers authored by Javier Robalino

Since Specialization
Citations

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

Fields of papers citing papers by Javier Robalino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Robalino

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Robalino. A scholar is included among the top collaborators of Javier Robalino 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 Javier Robalino. Javier Robalino 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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