J.R. Birch

2.7k total citations
131 papers, 2.0k citations indexed

About

J.R. Birch is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, J.R. Birch has authored 131 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 46 papers in Atomic and Molecular Physics, and Optics and 24 papers in Biomedical Engineering. Recurrent topics in J.R. Birch's work include Analytical Chemistry and Sensors (18 papers), Spectroscopy and Laser Applications (16 papers) and Advanced Fiber Optic Sensors (14 papers). J.R. Birch is often cited by papers focused on Analytical Chemistry and Sensors (18 papers), Spectroscopy and Laser Applications (16 papers) and Advanced Fiber Optic Sensors (14 papers). J.R. Birch collaborates with scholars based in United Kingdom, France and United States. J.R. Birch's co-authors include Mohammed N. Afsar, R.N. Clarke, G.W. Chantry, Shirley A. Ellis, J. B. Hasted, F. A. M. Frescura, Thomas D. Burleigh, J. C. G. Lesurf, T.J. Parker and R. A. Stradling and has published in prestigious journals such as Nature, Nature Communications and Physical review. B, Condensed matter.

In The Last Decade

J.R. Birch

127 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.R. Birch United Kingdom 23 898 583 353 290 280 131 2.0k
Tatsuzo Nagai Japan 27 449 0.5× 303 0.5× 355 1.0× 75 0.3× 1.2k 4.3× 102 2.4k
Satoshi Wada Japan 27 1.4k 1.6× 981 1.7× 289 0.8× 212 0.7× 635 2.3× 275 3.0k
O. Teschke Brazil 24 760 0.8× 787 1.3× 476 1.3× 108 0.4× 485 1.7× 134 2.0k
Ralf Schmidt Germany 32 1.3k 1.5× 497 0.9× 406 1.2× 393 1.4× 2.6k 9.3× 113 5.4k
Xijie Wang United States 37 1.7k 1.9× 1.5k 2.5× 415 1.2× 194 0.7× 897 3.2× 198 3.9k
Masaya Nagai Japan 30 2.1k 2.3× 1.4k 2.3× 605 1.7× 639 2.2× 582 2.1× 130 3.2k
E. Stoffels Netherlands 33 3.0k 3.3× 718 1.2× 257 0.7× 218 0.8× 464 1.7× 72 4.6k
Ying Y. Tsui Canada 31 828 0.9× 767 1.3× 568 1.6× 123 0.4× 525 1.9× 149 3.1k
Claudio Ferrero France 29 274 0.3× 233 0.4× 391 1.1× 163 0.6× 1.0k 3.7× 140 2.8k
Yohei Kobayashi Japan 29 1.7k 1.9× 2.5k 4.4× 215 0.6× 548 1.9× 160 0.6× 208 3.4k

Countries citing papers authored by J.R. Birch

Since Specialization
Citations

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

Fields of papers citing papers by J.R. Birch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.R. Birch

This figure shows the co-authorship network connecting the top 25 collaborators of J.R. Birch. A scholar is included among the top collaborators of J.R. 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 J.R. Birch. J.R. 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.
Birch, J.R., Shirley A. Ellis, Daniel Burns, et al.. (2023). Cattle killer immunoglobulin-like receptor expression on leukocyte subsets suggests functional divergence compared to humans. Veterinary Immunology and Immunopathology. 263. 110646–110646. 1 indexed citations
2.
Juarez, Juan F. Bada, Peter J. Judge, Suliman Adam, et al.. (2021). Structures of the archaerhodopsin-3 transporter reveal that disordering of internal water networks underpins receptor sensitization. Nature Communications. 12(1). 629–629. 26 indexed citations
3.
Adamóski, Douglas, Zeyaul Islam, J.R. Birch, et al.. (2018). Human mitochondrial pyruvate carrier 2 as an autonomous membrane transporter. Scientific Reports. 8(1). 3510–3510. 33 indexed citations
4.
Hilly, Ohad, Joseph M. Chen, J.R. Birch, et al.. (2016). Diffusion Tensor Imaging Tractography of the Facial Nerve in Patients With Cerebellopontine Angle Tumors. Otology & Neurotology. 37(4). 388–393. 22 indexed citations
5.
Bird, Louise E., Anil Kumar Verma, Raphael Gasper, et al.. (2015). Green Fluorescent Protein-based Expression Screening of Membrane Proteins in <em>Escherichia coli</em>. Journal of Visualized Experiments. e52357–e52357. 24 indexed citations
6.
Codner, Gemma, J.R. Birch, John A. Hammond, & Shirley A. Ellis. (2012). Constraints on haplotype structure and variable gene frequencies suggest a functional hierarchy within cattle MHC class I. Immunogenetics. 64(6). 435–445. 19 indexed citations
7.
Guzman, Efrain, J.R. Birch, & Shirley A. Ellis. (2010). Cattle MIC is a ligand for the activating NK cell receptor NKG2D. Veterinary Immunology and Immunopathology. 136(3-4). 227–234. 13 indexed citations
8.
Birch, J.R., Gemma Codner, Efrain Guzman, & Shirley A. Ellis. (2008). Genomic location and characterisation of nonclassical MHC class I genes in cattle. Immunogenetics. 60(5). 267–273. 30 indexed citations
9.
Birch, J.R. & Shirley A. Ellis. (2007). Complexity in the cattle CD94/NKG2 gene families. Immunogenetics. 59(4). 273–280. 19 indexed citations
10.
Birch, J.R., Lisa Murphy, Niall D. MacHugh, & Shirley A. Ellis. (2006). Generation and maintenance of diversity in the cattle MHC class I region. Immunogenetics. 58(8). 670–679. 43 indexed citations
11.
Ellis, Shirley A., W. Ivan Morrison, Niall D. MacHugh, et al.. (2005). Serological and molecular diversity in the cattle MHC class I region. Immunogenetics. 57(8). 601–606. 31 indexed citations
12.
Quincey, Paul, et al.. (1992). An untuned cavity as a high effective temperature millimetre wave calibration source. Measurement Science and Technology. 3(9). 864–872. 1 indexed citations
13.
Quincey, Paul, et al.. (1990). The development of an untuned cavity as a high effective temperature microwave calibration source. OpenGrey (Institut de l'Information Scientifique et Technique). 91. 20462. 2 indexed citations
14.
Quincey, Paul, et al.. (1990). Far infrared complex conductivity measurements on YBaCuO thin films. Solid State Communications. 76(11). 1281–1284. 5 indexed citations
15.
Hasted, J. B., et al.. (1984). FIR spectra of amino acids and related molecules. Infrared Physics. 24(2-3). 201–208. 14 indexed citations
16.
Birch, J.R.. (1983). Optical constants of some commercial microwave materials between 90 and 1200 GHz. IEE Proceedings H Microwaves, Optics and Antennas. 130(5). 327–330. 2 indexed citations
17.
Birch, J.R., et al.. (1982). A variable-thickness variable-temperature liquid cell for dispersive Fourier transform spectrometry. Journal of Physics E Scientific Instruments. 15(6). 684–688. 9 indexed citations
18.
Parker, T.J., et al.. (1980). A critical point analysis of multi-phonon structure in the far infrared dielectric response of CdTe. Solid State Communications. 36(7). 581–584. 10 indexed citations
19.
Bradley, C. C., Richard Jones, J.R. Birch, & G. Duxbury. (1970). Saturation of a Molecular Absorption Line at 890 GHz. Nature. 226(5249). 941–942. 5 indexed citations
20.
Birch, J.R. & Robert G. Jones. (1970). A ferrite modulator for the far infrared. Infrared Physics. 10(4). 217–224. 10 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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