Nigel P. Birch

2.8k total citations
79 papers, 2.2k citations indexed

About

Nigel P. Birch is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Nigel P. Birch has authored 79 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 23 papers in Cell Biology and 21 papers in Cancer Research. Recurrent topics in Nigel P. Birch's work include Protease and Inhibitor Mechanisms (19 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers) and Cellular transport and secretion (10 papers). Nigel P. Birch is often cited by papers focused on Protease and Inhibitor Mechanisms (19 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers) and Cellular transport and secretion (10 papers). Nigel P. Birch collaborates with scholars based in New Zealand, United States and Australia. Nigel P. Birch's co-authors include David L. Christie, Y. Peng Loh, Tet Woo Lee, Thomas Brittain, Joanna Skommer, Richard D. Newcomb, Robin M. MacDiarmid, D.J. Hakes, Christopher T. Turner and Kim M. Plummer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Nigel P. Birch

77 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel P. Birch New Zealand 28 1.2k 577 346 320 227 79 2.2k
Sushil K. Mahata United States 27 1.3k 1.2× 428 0.7× 712 2.1× 450 1.4× 131 0.6× 77 2.7k
Gennady Ermak United States 30 2.0k 1.8× 978 1.7× 473 1.4× 634 2.0× 137 0.6× 41 3.9k
Kid Törnquist Finland 30 1.7k 1.4× 475 0.8× 355 1.0× 314 1.0× 149 0.7× 143 2.5k
Charles S. Rubin United States 37 2.7k 2.4× 666 1.2× 478 1.4× 473 1.5× 105 0.5× 63 3.6k
Gloria Salazar United States 31 1.5k 1.3× 810 1.4× 303 0.9× 612 1.9× 120 0.5× 65 2.9k
Yimin Fang United States 24 1.7k 1.5× 379 0.7× 149 0.4× 765 2.4× 208 0.9× 59 2.8k
Nobuaki Okumura Japan 26 1.2k 1.0× 456 0.8× 346 1.0× 424 1.3× 74 0.3× 68 2.0k
Susanne Brodesser Germany 33 1.8k 1.6× 533 0.9× 168 0.5× 801 2.5× 142 0.6× 70 3.1k
Yong Ryoul Yang South Korea 28 1.3k 1.2× 213 0.4× 288 0.8× 384 1.2× 140 0.6× 76 2.3k
Sean J. Humphrey Australia 27 2.7k 2.3× 436 0.8× 184 0.5× 702 2.2× 247 1.1× 64 3.8k

Countries citing papers authored by Nigel P. Birch

Since Specialization
Citations

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

Fields of papers citing papers by Nigel P. Birch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel P. Birch. 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 Nigel P. Birch. The network helps show where Nigel P. Birch may publish in the future.

Co-authorship network of co-authors of Nigel P. Birch

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

All Works

20 of 20 papers shown
1.
Hedges, Christopher P., et al.. (2023). Electron transfer and ROS production in brain mitochondria of intertidal and subtidal triplefin fish (Tripterygiidae). Journal of Comparative Physiology B. 193(4). 413–424. 6 indexed citations
2.
Birch, Nigel P., Mattias Soop, Martina Zügel, et al.. (2020). Expression of titin-linked putative mechanosensing proteins in skeletal muscle after power resistance exercise in resistance-trained men. Journal of Applied Physiology. 130(3). 545–561. 6 indexed citations
3.
Kaur, Harveen, Kevin Chang, Anna E. S. Brooks, et al.. (2019). Site-specific glycation of Aβ1–42 affects fibril formation and is neurotoxic. Journal of Biological Chemistry. 294(22). 8806–8818. 20 indexed citations
4.
Lee, Tet Woo, et al.. (2016). Physiological and pathological functions of neuroserpin: Regulation of cellular responses through multiple mechanisms. Seminars in Cell and Developmental Biology. 62. 152–159. 32 indexed citations
5.
Lorenz, Natalie, Daniel J. Verdon, Chun‐Jen J. Chen, et al.. (2015). Human T cell activation induces synaptic translocation and alters expression of the serine protease inhibitor neuroserpin and its target protease. Journal of Leukocyte Biology. 97(4). 699–710. 14 indexed citations
6.
Robinson, Samuel D., Tet Woo Lee, David L. Christie, & Nigel P. Birch. (2015). Tissue plasminogen activator inhibits NMDA-receptor-mediated increases in calcium levels in cultured hippocampal neurons. Frontiers in Cellular Neuroscience. 9. 404–404. 8 indexed citations
7.
Lee, Tet Woo, et al.. (2015). Physiological and pathological roles of tissue plasminogen activator and its inhibitor neuroserpin in the nervous system. Frontiers in Cellular Neuroscience. 9. 396–396. 41 indexed citations
8.
Sheppard, Hilary M., Daniel J. Verdon, Anna E. S. Brooks, et al.. (2014). MicroRNA regulation in human CD8+ T cell subsets – cytokine exposure alone drives miR-146a expression. Journal of Translational Medicine. 12(1). 292–292. 18 indexed citations
9.
10.
Dodd, Joanna R., Nigel P. Birch, Henry J. Waldvogel, & David L. Christie. (2010). Functional and immunocytochemical characterization of the creatine transporter in rat hippocampal neurons. Journal of Neurochemistry. 115(3). 684–693. 21 indexed citations
11.
Borges, Victor M., Tet Woo Lee, David L. Christie, & Nigel P. Birch. (2010). Neuroserpin regulates the density of dendritic protrusions and dendritic spine shape in cultured hippocampal neurons. Journal of Neuroscience Research. 88(12). 2610–2617. 31 indexed citations
12.
Raychaudhuri, Subhadip, Joanna Skommer, Kristen Henty, Nigel P. Birch, & Thomas Brittain. (2009). Neuroglobin protects nerve cells from apoptosis by inhibiting the intrinsic pathway of cell death. APOPTOSIS. 15(4). 401–411. 132 indexed citations
13.
14.
Turner, Christopher T., et al.. (2006). RNA interference in the light brown apple moth, Epiphyas postvittana (Walker) induced by double‐stranded RNA feeding. Insect Molecular Biology. 15(3). 383–391. 245 indexed citations
15.
Hill, Rena M., Stephen O. Brennan, & Nigel P. Birch. (2001). Expression, Purification, and Functional Characterization of the Serine Protease Inhibitor Neuroserpin Expressed in Drosophila S2 Cells. Protein Expression and Purification. 22(3). 406–413. 25 indexed citations
16.
17.
Ledgerwood, Elizabeth C., Stephen O. Brennan, Nigel P. Birch, & Peter M. George. (1996). The specificity of the neuroendocrine convertase PC3 is determined by residues NH2- and COOH-terminal to the cleavage site. IUBMB Life. 39(6). 1167–1176. 5 indexed citations
18.
Nillni, Eduardo A., Theodore C. Friedman, Roberta B. Todd, et al.. (1995). Pro‐Thyrotropin‐Releasing Hormone Processing by Recombinant PC1. Journal of Neurochemistry. 65(6). 2462–2472. 54 indexed citations
19.
20.
Loh, Y Peng, Katrin I. Andreasson, & Nigel P. Birch. (1991). Intracellular trafficking and processing of pro-opiomelanocortin. Cell Biochemistry and Biophysics. 19(1). 73–83. 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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