Ike dela Peña

61 total papers · 1.2k total citations
49 papers, 907 citations indexed

About

Ike dela Peña is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Ike dela Peña has authored 49 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 20 papers in Psychiatry and Mental health and 14 papers in Molecular Biology. Recurrent topics in Ike dela Peña's work include Attention Deficit Hyperactivity Disorder (19 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Neuroscience and Neuropharmacology Research (9 papers). Ike dela Peña is often cited by papers focused on Attention Deficit Hyperactivity Disorder (19 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Neuroscience and Neuropharmacology Research (9 papers). Ike dela Peña collaborates with scholars based in South Korea, United States and Japan. Ike dela Peña's co-authors include Cesar V. Borlongan, Jae Hoon Cheong, Wei‐Xing Shi, Guofang Shen, Chan Young Shin, Jong Hoon Ryu, June Bryan de la Peña, Seo Young Yoon, Bung-Nyun Kim and Naoki Tajiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Ike dela Peña

49 papers receiving 902 citations

Author Peers

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

Author						Papers	Cites
Ike dela Peña	321	242	232	160	151	49	907
Emin Özyurt	430 1.3×	213 0.9×	345 1.5×	122 0.8×	104 0.7×	39	971
Felipe Schmitz	181 0.6×	235 1.0×	181 0.8×	129 0.8×	88 0.6×	58	1.0k
Gilbert Clincke	389 1.2×	317 1.3×	125 0.5×	93 0.6×	190 1.3×	41	872
Jolanta Kucharska–Mazur	208 0.6×	256 1.1×	254 1.1×	71 0.4×	109 0.7×	70	977
Jingde Dong	307 1.0×	226 0.9×	107 0.5×	112 0.7×	172 1.1×	37	849
Renata Leke	348 1.1×	218 0.9×	187 0.8×	113 0.7×	141 0.9×	22	859
R Raffaele	298 0.9×	153 0.6×	154 0.7×	139 0.9×	109 0.7×	50	805
Masanori Ishikawa	352 1.1×	328 1.4×	98 0.4×	163 1.0×	175 1.2×	37	868
Annemarie Heberlein	271 0.8×	263 1.1×	64 0.3×	107 0.7×	90 0.6×	55	984
Lilah Toker	200 0.6×	305 1.3×	137 0.6×	97 0.6×	89 0.6×	27	749

Countries citing papers authored by Ike dela Peña

Since Specialization

Citations

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

Fields of papers citing papers by Ike dela Peña

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ike dela Peña. 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 Ike dela Peña. The network helps show where Ike dela Peña may publish in the future.

Co-authorship network of co-authors of Ike dela Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Ike dela Peña. A scholar is included among the top collaborators of Ike dela Peña 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 Ike dela Peña. Ike dela Peña 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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