J. M. Chalmers

1.1k total citations
41 papers, 747 citations indexed

About

J. M. Chalmers is a scholar working on Analytical Chemistry, Spectroscopy and Biophysics. According to data from OpenAlex, J. M. Chalmers has authored 41 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 8 papers in Spectroscopy and 8 papers in Biophysics. Recurrent topics in J. M. Chalmers's work include Spectroscopy and Chemometric Analyses (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Analytical Chemistry and Chromatography (7 papers). J. M. Chalmers is often cited by papers focused on Spectroscopy and Chemometric Analyses (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Analytical Chemistry and Chromatography (7 papers). J. M. Chalmers collaborates with scholars based in United Kingdom, Netherlands and India. J. M. Chalmers's co-authors include M.W. Mackenzie, Neil Everall, H.A. Willis, J.H. van der Maas, R. Ferwerda, P.J. Hendra, S.A. Ellison, D. MacKerron, Gary Ellis and W. F. Maddams and has published in prestigious journals such as Journal of Applied Physics, Polymer and Chemical Physics Letters.

In The Last Decade

J. M. Chalmers

39 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. M. Chalmers United Kingdom	16	205	173	160	153	105	41	747
Marcin Gnyba Poland	17	86 0.4×	34 0.2×	179 1.1×	77 0.5×	98 0.9×	55	754
Jean‐Louis Brisset France	15	70 0.3×	16 0.1×	92 0.6×	37 0.2×	25 0.2×	34	1.5k
M. K. Antoon United States	8	115 0.6×	223 1.3×	65 0.4×	52 0.3×	106 1.0×	10	528
Huadong Zhang China	15	34 0.2×	62 0.4×	121 0.8×	18 0.1×	120 1.1×	44	667
Jake McClements United Kingdom	13	68 0.3×	59 0.3×	150 0.9×	4 0.0×	48 0.5×	26	499
J. L. Brisset France	19	38 0.2×	12 0.1×	80 0.5×	21 0.1×	70 0.7×	47	1.4k
Jacky Mallégol France	18	67 0.3×	313 1.8×	158 1.0×	16 0.1×	112 1.1×	29	972
Raimundo Ho United States	14	33 0.2×	34 0.2×	174 1.1×	8 0.1×	37 0.4×	26	886
Christopher J. Tucker United States	15	61 0.3×	37 0.2×	110 0.7×	4 0.0×	23 0.2×	51	788
Yiran Tian China	19	40 0.2×	16 0.1×	453 2.8×	49 0.3×	128 1.2×	52	1.0k

Countries citing papers authored by J. M. Chalmers

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Chalmers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Chalmers

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

All Works

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20 of 20 papers shown

Chalmers, J. M., et al.. (2020). Detecting chronic liver disease: are liver function tests the solution?. British Journal of Hospital Medicine. 81(2). 1–8. 4 indexed citations

Chalmers, J. M., Stuart Astbury, Jane I. Grove, et al.. (2020). P24 A genome-wide association study of non-alcoholic fatty liver disease in India: is there divergence in the genetic risk profile?. Abstracts. A19.1–A19.

Chalmers, J. M., et al.. (2020). L-carnitine supplementation in non-alcoholic fatty liver disease: A systematic review and meta-analysis. World Journal of Meta-Analysis. 8(1). 4–14. 4 indexed citations

Chalmers, J. M., et al.. (2019). Cohort profile: the Trivandrum non-alcoholic fatty liver disease (NAFLD) cohort. BMJ Open. 9(5). e027244–e027244. 23 indexed citations

Elshaarawy, Omar, Johannes Mueller, Indra Neil Guha, et al.. (2019). Spleen stiffness to liver stiffness ratio significantly differs between ALD and HCV and predicts disease-specific complications. JHEP Reports. 1(2). 99–106. 15 indexed citations

Chalmers, J. M., Emilie Wilkes, Rebecca Harris, et al.. (2019). Development and implementation of a commissioned pathway for the identification and stratification of liver disease in the community. Frontline Gastroenterology. 11(2). 86–92. 41 indexed citations

Law, James, J. M. Chalmers, David E. Morris, et al.. (2017). The use of infrared thermography in the measurement and characterization of brown adipose tissue activation. Temperature. 5(2). 147–161. 40 indexed citations

Chesters, M.A., M. Pearson, P. Hollins, et al.. (1998). Infrared spectroscopy and microscopy at the Daresbury synchrotron light source. Il Nuovo Cimento D. 20(4). 439–448. 6 indexed citations

Luinge, Hendrik J., et al.. (1993). Application of an automated interpretation system for infrared spectra. Vibrational Spectroscopy. 4(3). 285–299. 4 indexed citations

10.

Luinge, Hendrik J., et al.. (1993). Application of an automated interpretation system for infrared spectra. Vibrational Spectroscopy. 4(3). 301–308. 6 indexed citations

11.

Chalmers, J. M., et al.. (1991). FTIR spectroscopic studies of isotactic polypropylene films under stress. Spectrochimica Acta Part A Molecular Spectroscopy. 47(12). 1677–1683. 16 indexed citations

12.

Ellis, Gary, et al.. (1991). Fourier transform vibrational spectroscopy in the study of poly (aryl ether sulphone), poly (aryl ether ether sulphone) and their copolymers. Journal of Molecular Structure. 247. 385–395. 11 indexed citations

13.

Everall, Neil, et al.. (1991). The use of polarised Fourier transform Raman spectroscopy in morphological studies of uniaxially oriented PEEK fibres—some preliminary results. Spectrochimica Acta Part A Molecular Spectroscopy. 47(9-10). 1305–1311. 26 indexed citations

14.

Claybourn, Mike, et al.. (1991). ChaRacterization of Carbon-Filled Polymers by Specular Reflectance. Applied Spectroscopy. 45(2). 279–286. 13 indexed citations

15.

Blundell, D.J., et al.. (1985). Crystalline morphology of the matrix of PEEK-carbon fiber aromatic polymer composites. I. Assessment of crystallinity. 16(4). 22–30. 27 indexed citations

16.

Chalmers, J. M., et al.. (1985). A Method for Determining the Optical Properties of Materials with Respect to Thermal Radiation and Radiation from a Number of other Sources. Applied Spectroscopy. 39(3). 412–417. 3 indexed citations

17.

Chalmers, J. M., et al.. (1977). A simple multipass cavity accessory for infrared spectroscopic measurements on thin polymer films. Journal of Physics E Scientific Instruments. 10(7). 740–743.

18.

Fraser, G. V., J. M. Chalmers, Valerie Charlton, & M.E.A. Cudby. (1977). A vibrational spectroscopic study of TiCl3. Solid State Communications. 21(10). 933–936. 9 indexed citations

19.

Chalmers, J. M.. (1977). Laser-Raman spectrum of helical syndiotactic polypropylene. Polymer. 18(7). 681–684. 9 indexed citations

20.

Willis, H.A., et al.. (1975). The observation of a band near 14 cm−1 in the raman and far infrared spectra of polytetrafluorethylene. Chemical Physics Letters. 33(2). 381–383. 11 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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