K. Sam Wells

1.7k total citations
17 papers, 1.1k citations indexed

About

K. Sam Wells is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, K. Sam Wells has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in K. Sam Wells's work include Cardiac electrophysiology and arrhythmias (4 papers), Alzheimer's disease research and treatments (3 papers) and Ion channel regulation and function (3 papers). K. Sam Wells is often cited by papers focused on Cardiac electrophysiology and arrhythmias (4 papers), Alzheimer's disease research and treatments (3 papers) and Ion channel regulation and function (3 papers). K. Sam Wells collaborates with scholars based in United States, United Kingdom and Italy. K. Sam Wells's co-authors include Ronald B. Emeson, Christopher L. Sansam, David W. Piston, Sergio Gurrieri, Carlos Bustamante, Iain Johnson, Justin D. Lathia, Robin J.M. Franklin, Mahendra S. Rao and Charles ffrench‐Constant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

K. Sam Wells

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Sam Wells United States	15	721	149	131	116	109	17	1.1k
Xiaoying Fan China	17	1.3k 1.8×	98 0.7×	97 0.7×	127 1.1×	419 3.8×	24	1.6k
Antrix Jain United States	22	849 1.2×	59 0.4×	56 0.4×	112 1.0×	143 1.3×	50	1.5k
Thomas Viel France	22	397 0.6×	36 0.2×	106 0.8×	61 0.5×	190 1.7×	43	1.2k
Haofei Wang China	17	1.0k 1.4×	59 0.4×	139 1.1×	47 0.4×	365 3.3×	49	1.5k
Noureddine Zebda United States	16	594 0.8×	68 0.5×	51 0.4×	65 0.6×	50 0.5×	24	1.3k
Aya Fukuda Japan	22	1.3k 1.8×	27 0.2×	57 0.4×	153 1.3×	119 1.1×	50	1.9k
Francesca Bartolini United States	23	1.2k 1.6×	79 0.5×	33 0.3×	108 0.9×	63 0.6×	46	2.0k
Yasumasa Hara Japan	14	1.1k 1.5×	85 0.6×	276 2.1×	244 2.1×	236 2.2×	54	1.9k
Jesús Mateo Spain	20	456 0.6×	140 0.9×	95 0.7×	88 0.8×	212 1.9×	39	1.2k

Countries citing papers authored by K. Sam Wells

Since Specialization

Citations

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

Fields of papers citing papers by K. Sam Wells

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Sam Wells. 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 K. Sam Wells. The network helps show where K. Sam Wells may publish in the future.

Co-authorship network of co-authors of K. Sam Wells

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

All Works

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17 of 17 papers shown

Williams, Ian M., Steven D. Kahl, Doraiswami Ramkrishna, et al.. (2018). Insulin exits skeletal muscle capillaries by fluid-phase transport. Journal of Clinical Investigation. 128(2). 699–714. 36 indexed citations

Exil, Vernat, Ping Li, Yingchun Yu, et al.. (2014). Activation of MAPK and FoxO by Manganese (Mn) in Rat Neonatal Primary Astrocyte Cultures. PLoS ONE. 9(5). e94753–e94753. 45 indexed citations

Sidorova, Tatiana N., Liudmila V. Yermalitskaya, K. Sam Wells, et al.. (2014). Reactive γ-ketoaldehydes promote protein misfolding and preamyloid oligomer formation in rapidly-activated atrial cells. Journal of Molecular and Cellular Cardiology. 79. 295–302. 24 indexed citations

Sidorova, Tatiana N., K. Sam Wells, Liudmila V. Yermalitskaya, et al.. (2014). Quantitative Imaging of Preamyloid Oligomers, a Novel Structural Abnormality, in Human Atrial Samples. Journal of Histochemistry & Cytochemistry. 62(7). 479–487. 11 indexed citations

Sidorova, Tatiana N., K. Sam Wells, Liudmila V. Yermalitskaya, et al.. (2014). Hypertension Is Associated With Preamyloid Oligomers in Human Atrium: A Missing Link in Atrial Pathophysiology?. Journal of the American Heart Association. 3(6). e001384–e001384. 9 indexed citations

Hallaq, Haifa, Dao Wen Wang, Jennifer D. Kunic, et al.. (2011). Activation of protein kinase C alters the intracellular distribution and mobility of cardiac Na⁺channels. American Journal of Physiology-Heart and Circulatory Physiology. 302(3). H782–H789. 33 indexed citations

Chopra, Sameer, Dina Myers Stroud, Hiroshi Watanabe, et al.. (2010). Voltage-Gated Sodium Channels Are Required for Heart Development in Zebrafish. Circulation Research. 106(8). 1342–1350. 66 indexed citations

Nyman, Lara, K. Sam Wells, Michael J. McCaughey, et al.. (2008). Real-time, multidimensional in vivo imaging used to investigate blood flow in mouse pancreatic islets. Journal of Clinical Investigation. 118(11). 3790–3797. 134 indexed citations

Lathia, Justin D., Chao Zhao, K. Sam Wells, et al.. (2006). Inflammation stimulates myelination by transplanted oligodendrocyte precursor cells. Glia. 54(4). 297–303. 140 indexed citations

10.

Hallaq, Haifa, Zhenjiang Yang, Koji Fukuda, et al.. (2006). Quantitation of protein kinase A-mediated trafficking of cardiac sodium channels in living cells. Cardiovascular Research. 72(2). 250–261. 53 indexed citations

11.

Xu, Ming, K. Sam Wells, & Ronald B. Emeson. (2006). Substrate-dependent Contribution of Double-stranded RNA-binding Motifs to ADAR2 Function. Molecular Biology of the Cell. 17(7). 3211–3220. 18 indexed citations

12.

Boczko, Erik M., Terrance Cooper, Tomáš Gedeon, et al.. (2005). Structure theorems and the dynamics of nitrogen catabolite repression in yeast. Proceedings of the National Academy of Sciences. 102(16). 5647–5652. 28 indexed citations

13.

Sheng, Jinsong, et al.. (2004). Mutations in the IGF-II pathway that confer resistance to lytic reovirus infection. BMC Cell Biology. 5(1). 32–32. 15 indexed citations

14.

Codreanu, Simona G., Sheryl L. Stamer, Darrin L. Smith, et al.. (2004). Global Shifts in Protein Sumoylation in Response to Electrophile and Oxidative Stress. Chemical Research in Toxicology. 17(12). 1706–1715. 128 indexed citations

15.

McIntyre, J. Oliver, Barbara Fingleton, K. Sam Wells, et al.. (2004). Development of a novel fluorogenic proteolytic beacon for in vivo detection and imaging of tumour-associated matrix metalloproteinase-7 activity. Biochemical Journal. 377(3). 617–628. 125 indexed citations

16.

Sansam, Christopher L., K. Sam Wells, & Ronald B. Emeson. (2003). Modulation of RNA editing by functional nucleolar sequestration of ADAR2. Proceedings of the National Academy of Sciences. 100(24). 14018–14023. 155 indexed citations

17.

Gurrieri, Sergio, K. Sam Wells, Iain Johnson, & Carlos Bustamante. (1997). Direct Visualization of Individual DNA Molecules by Fluorescence Microscopy: Characterization of the Factors Affecting Signal/Background and Optimization of Imaging Conditions Using YOYO. Analytical Biochemistry. 249(1). 44–53. 105 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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