Vanessa King

933 total citations · 1 hit paper
9 papers, 255 citations indexed

About

Vanessa King is a scholar working on Molecular Biology, Communication and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Vanessa King has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Communication and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Vanessa King's work include Gene Regulatory Network Analysis (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Vanessa King is often cited by papers focused on Gene Regulatory Network Analysis (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). Vanessa King collaborates with scholars based in United States, New Zealand and Netherlands. Vanessa King's co-authors include Jan Schepel, Avinesh Pillai, Matthew Phillips, Stacey McCoy, Dorin Comaniciu, Ali Kamen, Philipp Seegerer, Benjamin Meder, Sebastian J. Buss and Derliz Mereles and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nursing Research.

In The Last Decade

Vanessa King

9 papers receiving 253 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.

Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease

2021 167 citations Matthew Phillips, Stacey McCoy et al. Alzheimer s Research & Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vanessa King United States	5	145	52	51	49	26	9	255
Paul O’Connor Ireland	10	167 1.2×	108 2.1×	17 0.3×	54 1.1×	4 0.2×	16	365
Wen Shao China	11	65 0.4×	69 1.3×	18 0.4×	33 0.7×	19 0.7×	31	389
Francesco Valentini Italy	10	89 0.6×	95 1.8×	110 2.2×	16 0.3×	18 0.7×	15	336
Róisín Kelly‐Laubscher South Africa	11	27 0.2×	76 1.5×	22 0.4×	53 1.1×	4 0.2×	29	311
Qiao Jin China	7	58 0.4×	91 1.8×	39 0.8×	22 0.4×	5 0.2×	10	229
Rohan Yarlagadda United States	10	45 0.3×	57 1.1×	7 0.1×	11 0.2×	19 0.7×	16	334
Jaume Benavent Spain	7	106 0.7×	39 0.8×	24 0.5×	21 0.4×	6 0.2×	11	285
Angelika K. Sawicka Poland	9	160 1.1×	150 2.9×	12 0.2×	23 0.5×	24 0.9×	15	296
Patra Childress United States	4	231 1.6×	101 1.9×	34 0.7×	31 0.6×	17 0.7×	9	387
Stephanie Yan United States	5	152 1.0×	45 0.9×	91 1.8×	27 0.6×	4 0.2×	9	301

Countries citing papers authored by Vanessa King

Since Specialization

Citations

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

Fields of papers citing papers by Vanessa King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa King

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa King. A scholar is included among the top collaborators of Vanessa 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 Vanessa King. Vanessa 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:

9 of 9 papers shown

1.

Phillips, Matthew, et al.. (2021). Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease. Alzheimer s Research & Therapy. 13(1). 51–51. 167 indexed citations breakdown →

2.

Guðmundsdóttir, Dora Guðrún, et al.. (2021). Creating the World We Want to Live in. 5 indexed citations

3.

Guðmundsdóttir, Dora Guðrún, et al.. (2021). Creating The World We Want To Live In: How Positive Psychology Can Build a Brighter Future. 1 indexed citations

4.

Liew, Chern Li, Vanessa King, & Gillian Oliver. (2015). Social Media in Archives and Libraries: A Snapshot of Planning, Evaluation, and Preservation Decisions. 44(1). 3–11. 5 indexed citations

5.

Kayvanpour, Elham, Tommaso Mansi, Farbod Sedaghat‐Hamedani, et al.. (2015). Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart. PLoS ONE. 10(7). e0134869–e0134869. 64 indexed citations

6.

Liu, Mingming, Vanessa King, & Wei Keat Lim. (2013). Assembling cell context-specific gene sets: a case in cardiomyopathy. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 10(1). 46–61. 1 indexed citations

7.

Liu, Mingming, Vanessa King, & Wei Keat Lim. (2013). Assembling cell context-specific gene sets: a case in cardiomyopathy. SHILAP Revista de lepidopterología. 10(1). 234–234. 1 indexed citations

8.

Whitelaw, Sandy, et al.. (2011). Developing social marketing capacity to address health issues. Health Education. 111(4). 319–331. 10 indexed citations

9.

Allen, William H. & Vanessa King. (1969). PUBLIC HEALTH. Nursing Research. 18(3). 287–287. 1 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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