Claire King

619 total citations · 1 hit paper
8 papers, 390 citations indexed

About

Claire King is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Claire King has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Claire King's work include Neuroscience and Neuropharmacology Research (4 papers), Amino Acid Enzymes and Metabolism (1 paper) and Photoreceptor and optogenetics research (1 paper). Claire King is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Amino Acid Enzymes and Metabolism (1 paper) and Photoreceptor and optogenetics research (1 paper). Claire King collaborates with scholars based in United Kingdom, Germany and United States. Claire King's co-authors include Dmitri A. Rusakov, Lucie Bard, James R. Reynolds, Kaiyu Zheng, Christian Henneberger, Thomas P. Jensen, Alexander V. Gourine, Andrew Prentice, Claudia Marini and Stefano Romorini and has published in prestigious journals such as Neuron, Cell Host & Microbe and Cell Reports.

In The Last Decade

Claire King

8 papers receiving 388 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bacterial defense systems exhibit synergistic anti-phage activity

2024 48 citations Yi Wu, Sofya K. Garushyants et al. Cell Host & Microbe profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Claire King United Kingdom	7	212	163	79	72	48	8	390
Shiraz Tyebji Australia	11	158 0.7×	269 1.7×	57 0.7×	18 0.3×	31 0.6×	13	508
Abraham Rosas‐Arellano Mexico	12	136 0.6×	155 1.0×	78 1.0×	17 0.2×	15 0.3×	20	340
Marcia G. Welsh United States	11	120 0.6×	97 0.6×	57 0.7×	28 0.4×	72 1.5×	20	374
Nasima Mayer United States	8	268 1.3×	149 0.9×	53 0.7×	62 0.9×	14 0.3×	9	502
Juliana Almeida Brazil	9	95 0.4×	215 1.3×	92 1.2×	14 0.2×	8 0.2×	18	406
Emmanuel Guélin France	9	218 1.0×	414 2.5×	19 0.2×	98 1.4×	28 0.6×	10	585
Ryutaro Fujinaga Japan	15	216 1.0×	141 0.9×	20 0.3×	38 0.5×	21 0.4×	21	493
Joyce van de Leemput United States	14	175 0.8×	416 2.6×	48 0.6×	41 0.6×	13 0.3×	36	747
Torsten Held Germany	11	48 0.2×	246 1.5×	15 0.2×	23 0.3×	38 0.8×	13	406
Shan Jin China	12	108 0.5×	265 1.6×	10 0.1×	133 1.8×	32 0.7×	21	506

Countries citing papers authored by Claire King

Since Specialization

Citations

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

Fields of papers citing papers by Claire King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire King

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Wu, Yi, Sofya K. Garushyants, Cristian Aparicio-Maldonado, et al.. (2024). Bacterial defense systems exhibit synergistic anti-phage activity. Cell Host & Microbe. 32(4). 557–572.e6. 48 indexed citations breakdown →

2.

Secemsky, Eric A., Lee Kirksey, Elina Quiroga, et al.. (2023). Impact of Intensity of Vascular Care Preceding Major Amputation Among Patients With Chronic Limb-Threatening Ischemia. Circulation Cardiovascular Interventions. 17(1). e012798–e012798. 11 indexed citations

3.

King, Claire, et al.. (2021). Retrospective descriptive analysis of a managed care population with obesity. Current Medical Research and Opinion. 38(1). 83–89. 2 indexed citations

4.

King, Claire, Daniel Minge, Andrea Delekate, et al.. (2020). Local Resting Ca2+ Controls the Scale of Astroglial Ca2+ Signals. Cell Reports. 30(10). 3466–3477.e4. 44 indexed citations

5.

Zheng, Kaiyu, Lucie Bard, James R. Reynolds, et al.. (2015). Time-Resolved Imaging Reveals Heterogeneous Landscapes of Nanomolar Ca2+ in Neurons and Astroglia. Neuron. 88(2). 277–288. 95 indexed citations

6.

King, Claire, et al.. (2015). Models of endometriosis and their utility in studying progression to ovarian clear cell carcinoma. The Journal of Pathology. 238(2). 185–196. 38 indexed citations

7.

Davydova, Daria, Claudia Marini, Claire King, et al.. (2014). Bassoon Specifically Controls Presynaptic P/Q-type Ca2+ Channels via RIM-Binding Protein. Neuron. 82(1). 181–194. 125 indexed citations

8.

Henneberger, Christian, et al.. (2013). NMDA Receptor Activation: Two Targets for Two Co-Agonists. Neurochemical Research. 38(6). 1156–1162. 27 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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