Kenneth W. Adams

1.7k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Kenneth W. Adams is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Kenneth W. Adams has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Cell Biology. Recurrent topics in Kenneth W. Adams's work include Alzheimer's disease research and treatments (5 papers), Pluripotent Stem Cells Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Kenneth W. Adams is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Pluripotent Stem Cells Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Kenneth W. Adams collaborates with scholars based in United States, Germany and Denmark. Kenneth W. Adams's co-authors include Geoffrey M. Cooper, Bradley T. Hyman, Tadafumi Hashimoto, Tara L. Spires‐Jones, Kristina D. Micheva, Melanie Meyer‐Luehmann, Stephen J Smith, Robert M. Koffie, Mónica García‐Alloza and Virginia M. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Kenneth W. Adams

14 papers receiving 1.3k citations

Hit Papers

align trajectories sort by overperformance

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.

Oligomeric amyloid β associates with postsynaptic densities and correlates with excitatory synapse loss near senile plaques

2009 672 citations Robert M. Koffie, Melanie Meyer‐Luehmann et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth W. Adams United States	10	875	537	350	237	206	14	1.3k
Lisa M. Jungbauer United States	12	852 1.0×	580 1.1×	233 0.7×	230 1.0×	173 0.8×	18	1.3k
Anna Lord Sweden	15	869 1.0×	444 0.8×	263 0.8×	208 0.9×	225 1.1×	15	1.2k
Lee‐Way Jin United States	21	1.0k 1.2×	690 1.3×	324 0.9×	424 1.8×	190 0.9×	39	1.7k
Raik Rönicke Germany	15	1.0k 1.1×	652 1.2×	406 1.2×	360 1.5×	227 1.1×	19	1.6k
Eva Kontseková Slovakia	19	1.0k 1.2×	519 1.0×	350 1.0×	423 1.8×	347 1.7×	68	1.6k
Erene Mina United States	6	1.2k 1.4×	705 1.3×	413 1.2×	209 0.9×	316 1.5×	8	1.6k
Misaki Sekiguchi Japan	11	964 1.1×	531 1.0×	272 0.8×	206 0.9×	262 1.3×	19	1.4k
Sethu Sankaranarayanan United States	21	764 0.9×	479 0.9×	280 0.8×	312 1.3×	210 1.0×	38	1.4k
Floyd Sarsoza United States	16	1.3k 1.4×	996 1.9×	300 0.9×	288 1.2×	229 1.1×	27	1.9k
William H. Jordan United States	11	634 0.7×	407 0.8×	301 0.9×	235 1.0×	246 1.2×	20	1.2k

Countries citing papers authored by Kenneth W. Adams

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth W. Adams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth W. Adams. 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 Kenneth W. Adams. The network helps show where Kenneth W. Adams may publish in the future.

Co-authorship network of co-authors of Kenneth W. Adams

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

All Works

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14 of 14 papers shown

Cooper, Geoffrey M. & Kenneth W. Adams. (2022). The Cell. Oxford University Press eBooks. 38 indexed citations

Perez, Adam M., et al.. (2020). ERK‐mediated Phosphorylation of the Egr Transcriptional Coregulator NAB2 at Multiple Sites. The FASEB Journal. 34(S1). 1–1. 1 indexed citations

Bloch, Christopher P., et al.. (2018). Refining the nuclear localization signal within the Egr transcriptional coregulator NAB2. FEBS Letters. 593(1). 107–118. 3 indexed citations

Adams, Kenneth W., et al.. (2017). Role for Egr1 in the Transcriptional Program Associated with Neuronal Differentiation of PC12 Cells. PLoS ONE. 12(1). e0170076–e0170076. 19 indexed citations

Arruda, Nicole L., et al.. (2016). Voluntary wheel-running attenuates insulin and weight gain and affects anxiety-like behaviors in C57BL6/J mice exposed to a high-fat diet. Behavioural Brain Research. 310. 1–10. 39 indexed citations

Hashimoto, Tadafumi, Alberto Serrano‐Pozo, Yukiko Hori, et al.. (2012). Apolipoprotein E, Especially Apolipoprotein E4, Increases the Oligomerization of Amyloid β Peptide. Journal of Neuroscience. 32(43). 15181–15192. 219 indexed citations

Hashimoto, Tadafumi, Kenneth W. Adams, Zhanyun Fan, Pamela J. McLean, & Bradley T. Hyman. (2011). Characterization of Oligomer Formation of Amyloid-β Peptide Using a Split-luciferase Complementation Assay. Journal of Biological Chemistry. 286(31). 27081–27091. 58 indexed citations

Jones, P., Kenneth W. Adams, Anete Rozkalne, et al.. (2011). Apolipoprotein E: Isoform Specific Differences in Tertiary Structure and Interaction with Amyloid-β in Human Alzheimer Brain. PLoS ONE. 6(1). e14586–e14586. 72 indexed citations

Koffie, Robert M., Melanie Meyer‐Luehmann, Tadafumi Hashimoto, et al.. (2009). Oligomeric amyloid β associates with postsynaptic densities and correlates with excitatory synapse loss near senile plaques. Proceedings of the National Academy of Sciences. 106(10). 4012–4017. 672 indexed citations breakdown →

10.

Makarova, Alexandra, Kathryn K. Bercury, Kenneth W. Adams, et al.. (2008). The LDL receptor-related protein can form homo-dimers in neuronal cells. Neuroscience Letters. 442(2). 91–95. 3 indexed citations

11.

Terragni, Jolyon, Julie R. Graham, Kenneth W. Adams, et al.. (2008). Phosphatidylinositol 3-kinase signaling in proliferating cells maintains an anti-apoptotic transcriptional program mediated by inhibition of FOXO and non-canonical activation of NFκB transcription factors. BMC Cell Biology. 9(1). 6–6. 35 indexed citations

12.

Spoelgen, Robert, Kenneth W. Adams, Mustafa Yavuz Köker, et al.. (2008). Interaction of the apolipoprotein E receptors low density lipoprotein receptor-related protein and sorLA/LR11. Neuroscience. 158(4). 1460–1468. 12 indexed citations

13.

Adams, Kenneth W. & Geoffrey M. Cooper. (2007). Rapid Turnover of Mcl-1 Couples Translation to Cell Survival and Apoptosis. Journal of Biological Chemistry. 282(9). 6192–6200. 131 indexed citations

14.

VanDorsten, J. Peter, et al.. (1991). An integrated, hospital information system based obstetrical medical record and database.. PubMed. 598–602. 6 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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