Lanikea B. King

426 total citations
9 papers, 291 citations indexed

About

Lanikea B. King is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Lanikea B. King has authored 9 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Lanikea B. King's work include Neurobiology and Insect Physiology Research (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Stress Responses and Cortisol (2 papers). Lanikea B. King is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Stress Responses and Cortisol (2 papers). Lanikea B. King collaborates with scholars based in United States, Belgium and Ireland. Lanikea B. King's co-authors include Hasse Walum, Nicholas W. Eyrich, Kiyoshi Inoue, Larry J. Young, Seth M. Tomchik, Nathan S. Pentkowski, Robert J. Blanchard, D. Caroline Blanchard, Yoav Litvin and Keith R. Murphy and has published in prestigious journals such as Circulation, Nature Communications and Biological Psychiatry.

In The Last Decade

Lanikea B. King

9 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lanikea B. King United States	8	161	71	64	60	41	9	291
Shirin Akther Japan	11	202 1.3×	44 0.6×	33 0.5×	50 0.8×	78 1.9×	12	336
Cristian Bernabe United States	9	51 0.3×	54 0.8×	87 1.4×	51 0.8×	62 1.5×	14	325
Takahiro Tsuji Japan	11	175 1.1×	30 0.4×	43 0.7×	35 0.6×	73 1.8×	29	344
G. Hoffman United States	8	160 1.0×	67 0.9×	70 1.1×	41 0.7×	106 2.6×	10	358
Daniel J. Tobiansky United States	12	155 1.0×	27 0.4×	78 1.2×	119 2.0×	33 0.8×	21	387
May Hui United States	6	110 0.7×	22 0.3×	135 2.1×	70 1.2×	53 1.3×	10	339
Chihiro Yoshihara Japan	10	234 1.5×	48 0.7×	27 0.4×	102 1.7×	93 2.3×	15	342
Max Scheller Germany	4	213 1.3×	84 1.2×	64 1.0×	40 0.7×	76 1.9×	4	296
Marco Nigro Italy	2	181 1.1×	46 0.6×	62 1.0×	65 1.1×	31 0.8×	2	257
L. Price United States	9	66 0.4×	53 0.7×	40 0.6×	44 0.7×	24 0.6×	14	429

Countries citing papers authored by Lanikea B. King

Since Specialization

Citations

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

Fields of papers citing papers by Lanikea B. King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lanikea B. King. 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 Lanikea B. King. The network helps show where Lanikea B. King may publish in the future.

Co-authorship network of co-authors of Lanikea B. King

This figure shows the co-authorship network connecting the top 25 collaborators of Lanikea B. King. A scholar is included among the top collaborators of Lanikea B. King 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 Lanikea B. King. Lanikea B. King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Boto, Tamara, Miao Jing, Jianzhi Zeng, et al.. (2022). Associative learning drives longitudinally graded presynaptic plasticity of neurotransmitter release along axonal compartments. eLife. 11. 23 indexed citations

Brown, Elizabeth, Tamara Boto, Scarlet J. Park, et al.. (2021). Neurofibromin regulates metabolic rate via neuronal mechanisms in Drosophila. Nature Communications. 12(1). 4285–4285. 19 indexed citations

King, Lanikea B., et al.. (2020). Developmental loss of neurofibromin across distributed neuronal circuits drives excessive grooming in Drosophila. PLoS Genetics. 16(7). e1008920–e1008920. 15 indexed citations

King, Lanikea B., et al.. (2016). Neurofibromin Loss of Function Drives Excessive Grooming in Drosophila. G3 Genes Genomes Genetics. 6(4). 1083–1093. 31 indexed citations

King, Lanikea B., Hasse Walum, Kiyoshi Inoue, Nicholas W. Eyrich, & Larry J. Young. (2015). Variation in the Oxytocin Receptor Gene Predicts Brain Region–Specific Expression and Social Attachment. Biological Psychiatry. 80(2). 160–169. 129 indexed citations

Litvin, Yoav, Philip Tovote, Nathan S. Pentkowski, et al.. (2010). Maternal separation modulates short-term behavioral and physiological indices of the stress response. Hormones and Behavior. 58(2). 241–249. 35 indexed citations

Pentkowski, Nathan S., et al.. (2009). Effects of acidic-astressin and ovine-CRF microinfusions into the ventral hippocampus on defensive behaviors in rats. Hormones and Behavior. 56(1). 35–43. 28 indexed citations

Eren, Mesut, et al.. (2002). Structure/function relationships and phenotype in PAI-1 transgenic mice. Circulation. 106(19). 40–40. 3 indexed citations

Eren, Mesut, et al.. (2001). Phenotypic derangements associated with overexpression of plasminogen activator inhibitor-1 (PAI-1) in transgenic mice. Arteriosclerosis Thrombosis and Vascular Biology. 21(4). 695–695. 8 indexed citations

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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