N.J. Webster

504 total citations
11 papers, 409 citations indexed

About

N.J. Webster is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, N.J. Webster has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Genetics. Recurrent topics in N.J. Webster's work include Receptor Mechanisms and Signaling (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Ion channel regulation and function (2 papers). N.J. Webster is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Ion channel regulation and function (2 papers). N.J. Webster collaborates with scholars based in United States, United Kingdom and Slovakia. N.J. Webster's co-authors include Atsushi Kosaki, Diana Cruz‐Topete, Yasumitsu Takata, Jerrold M. Olefsky, Chris Peers, Jamie L. Resnik, Hugh A. Pearson, M. Ramsden, Peter F. T. Vaughan and Ziyu Huang and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Neurobiology of Aging.

In The Last Decade

N.J. Webster

10 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.J. Webster United States 7 239 101 73 70 35 11 409
Neta Loewenthal Israel 13 162 0.7× 189 1.9× 79 1.1× 105 1.5× 26 0.7× 36 566
Laura Contu United Kingdom 9 126 0.5× 80 0.8× 83 1.1× 78 1.1× 63 1.8× 19 415
Yuki Murata Japan 13 154 0.6× 190 1.9× 92 1.3× 85 1.2× 30 0.9× 34 507
C Schumann Germany 12 191 0.8× 167 1.7× 118 1.6× 25 0.4× 49 1.4× 29 500
S. Ishiyama‐Shigemoto Japan 7 179 0.7× 95 0.9× 225 3.1× 65 0.9× 70 2.0× 8 518
Kohji Kiwaki Japan 12 193 0.8× 74 0.7× 89 1.2× 46 0.7× 11 0.3× 15 525
Paul Mystkowski United States 6 91 0.4× 71 0.7× 141 1.9× 61 0.9× 27 0.8× 6 431
Takeshi Onoue Japan 12 101 0.4× 67 0.7× 76 1.0× 55 0.8× 24 0.7× 56 413
Karl Mann Germany 14 115 0.5× 93 0.9× 50 0.7× 35 0.5× 36 1.0× 37 432
Shu‐Chuan Wu Taiwan 13 80 0.3× 40 0.4× 49 0.7× 49 0.7× 22 0.6× 33 420

Countries citing papers authored by N.J. Webster

Since Specialization
Citations

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

Fields of papers citing papers by N.J. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.J. Webster. 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 N.J. Webster. The network helps show where N.J. Webster may publish in the future.

Co-authorship network of co-authors of N.J. Webster

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

All Works

11 of 11 papers shown
1.
Webster, N.J., Adrian Bloor, Anna Hockaday, et al.. (2022). P673: DEPLETION AND RECOVERY OF NORMAL B-CELLS DURING AND AFTER TREATMENT WITH CHEMOIMMUNOTHERAPY, IBRUTINIB OR VENETOCLAX.. HemaSphere. 6. 571–572.
2.
Webster, N.J., et al.. (2017). Hypothalamic-Pituitary-Adrenal Axis Modulation of Glucocorticoids in the Cardiovascular System. International Journal of Molecular Sciences. 18(10). 2150–2150. 121 indexed citations
4.
Webster, N.J., et al.. (2005). Amyloid peptides mediate hypoxic increase of L-type Ca2+ channels in central neurones. Neurobiology of Aging. 27(3). 439–445. 36 indexed citations
6.
Webster, N.J., Peter F. T. Vaughan, & Chris Peers. (2001). Hypoxic enhancement of evoked noradrenaline release from the human neuroblastoma SH-SY5Y. Molecular Brain Research. 89(1-2). 50–57. 6 indexed citations
7.
Webster, N.J. & Ziyu Huang. (1999). Hormonal Regulation of Alternative Splicing. Frontiers of hormone research. 25. 1–17. 4 indexed citations
8.
Kosaki, Atsushi & N.J. Webster. (1993). Effect of dexamethasone on the alternative splicing of the insulin receptor mRNA and insulin action in HepG2 hepatoma cells.. Journal of Biological Chemistry. 268(29). 21990–21996. 92 indexed citations
9.
Takata, Yasumitsu, N.J. Webster, & Jerrold M. Olefsky. (1992). Intracellular signaling by a mutant human insulin receptor lacking the carboxyl-terminal tyrosine autophosphorylation sites.. Journal of Biological Chemistry. 267(13). 9065–9070. 39 indexed citations
10.
Resnik, Jamie L., et al.. (1992). Transcriptional regulation of the human insulin receptor promoter.. Journal of Biological Chemistry. 267(24). 17375–17383. 26 indexed citations
11.
Takata, Yasumitsu, N.J. Webster, & Jerrold M. Olefsky. (1991). Mutation of the two carboxyl-terminal tyrosines results in an insulin receptor with normal metabolic signaling but enhanced mitogenic signaling properties. Journal of Biological Chemistry. 266(14). 9135–9139. 78 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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