N.J.L. Gilmour

1.3k total citations
64 papers, 1.2k citations indexed

About

N.J.L. Gilmour is a scholar working on Microbiology, Epidemiology and Infectious Diseases. According to data from OpenAlex, N.J.L. Gilmour has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Microbiology, 36 papers in Epidemiology and 20 papers in Infectious Diseases. Recurrent topics in N.J.L. Gilmour's work include Microbial infections and disease research (39 papers), Mycobacterium research and diagnosis (30 papers) and Tuberculosis Research and Epidemiology (18 papers). N.J.L. Gilmour is often cited by papers focused on Microbial infections and disease research (39 papers), Mycobacterium research and diagnosis (30 papers) and Tuberculosis Research and Epidemiology (18 papers). N.J.L. Gilmour collaborates with scholars based in United Kingdom, Tanzania and Hungary. N.J.L. Gilmour's co-authors include J G. Brotherston, D.A. Thompson, K.W. Angus, J. M. Sharp, W. Donachie, D.I. Nisbet, M. Quirie, W. Donachie, P.W. Wells and Frank F. Craig and has published in prestigious journals such as Nature, Journal of Clinical Microbiology and Infection and Immunity.

In The Last Decade

N.J.L. Gilmour

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.J.L. Gilmour United Kingdom 20 685 557 217 208 169 64 1.2k
Glynn H. Frank United States 17 649 0.9× 171 0.3× 323 1.5× 119 0.6× 85 0.5× 48 1.1k
Katsumi KUME Japan 23 1.0k 1.5× 294 0.5× 91 0.4× 68 0.3× 94 0.6× 72 1.4k
D. S. Roberts Australia 15 343 0.5× 212 0.4× 143 0.7× 301 1.4× 86 0.5× 39 935
J R Glisson United States 23 827 1.2× 427 0.8× 148 0.7× 48 0.2× 114 0.7× 65 1.3k
Ν. F. Friis Denmark 19 950 1.4× 405 0.7× 129 0.6× 106 0.5× 40 0.2× 61 1.1k
A.W.D. Lepper Australia 20 302 0.4× 556 1.0× 323 1.5× 134 0.6× 46 0.3× 48 880
E M Kamp Netherlands 23 873 1.3× 150 0.3× 120 0.6× 154 0.7× 75 0.4× 44 1.2k
Akira SAWATA Japan 20 744 1.1× 263 0.5× 71 0.3× 44 0.2× 71 0.4× 40 865
C. Adlam United Kingdom 14 419 0.6× 110 0.2× 130 0.6× 61 0.3× 88 0.5× 33 860
M. Kobisch France 26 1.2k 1.8× 410 0.7× 246 1.1× 110 0.5× 40 0.2× 46 1.6k

Countries citing papers authored by N.J.L. Gilmour

Since Specialization
Citations

This map shows the geographic impact of N.J.L. Gilmour'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.L. Gilmour 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.L. Gilmour more than expected).

Fields of papers citing papers by N.J.L. Gilmour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N.J.L. Gilmour

This figure shows the co-authorship network connecting the top 25 collaborators of N.J.L. Gilmour. A scholar is included among the top collaborators of N.J.L. Gilmour 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.L. Gilmour. N.J.L. Gilmour 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.
Gilmour, N.J.L., W. Donachie, Andrew J. Sutherland, et al.. (1991). Vaccine containing iron-regulated proteins of Pasteurella haemolytica A2 enhances protection against experimental pasteurellosis in lambs. Vaccine. 9(2). 137–140. 48 indexed citations
2.
Gilmour, N.J.L.. (1990). Caseous lymphadenitis: a cause for concern.. PubMed. 126(23). 566–566. 1 indexed citations
3.
Gilmour, N.J.L., et al.. (1990). Outer membrane proteins of bovine strains of Pasteurella multocida type A and their doubtful role as protective antigens. Journal of Medical Microbiology. 32(1). 55–61. 10 indexed citations
4.
Craig, Frank F., J. G. Coote, R. Parton, John H. Freer, & N.J.L. Gilmour. (1989). A Plasmid Which Can Be Transferred Between Escherichia coli and Pasteurella haemolytica by Electroporation and Conjugation. Microbiology. 135(11). 2885–2890. 84 indexed citations
5.
Fodor, László, et al.. (1988). Characterisation of a new serotype of P haemolytica isolated in Hungary. Research in Veterinary Science. 44(3). 399–399. 30 indexed citations
6.
Gilmour, N.J.L., et al.. (1984). Susceptibility of specific pathogen-free lambs to concentrations of Pasteurella haemolytica serotype A2 in aerosols. Research in Veterinary Science. 37(3). 374–375. 7 indexed citations
7.
Gilmour, N.J.L., William B. Martin, J. M. Sharp, et al.. (1983). Experimental immunisation of lambs against pneumonic pasteurellosis.. PubMed. 35(1). 80–6. 45 indexed citations
8.
Donachie, W., et al.. (1983). Rapid Indirect Hemagglutination Test for Serotyping Pasteurella haemolytica. Journal of Clinical Microbiology. 18(1). 206–207. 31 indexed citations
9.
Gilmour, N.J.L.. (1980). Pasteurella haemolyticainfections in sheep. Veterinary Quarterly. 2(4). 191–198. 51 indexed citations
10.
Wells, P.W., N.J.L. Gilmour, C. Burrells, & D.A. Thompson. (1979). A serological comparison of Pasteurella haemolytica vaccines containing different adjuvants. Research in Veterinary Science. 27(2). 248–250. 15 indexed citations
11.
Gilmour, N.J.L. & K.W. Angus. (1976). The specificity and sensitivity of the fluorescent antibody test in cattle experimentally infected with Mycobacterium avium and Mycobacterium johnei. Research in Veterinary Science. 20(1). 6–9. 12 indexed citations
12.
Gilmour, N.J.L., et al.. (1974). The Recovery of Pasteurella haemolytica from the Tonsils of Adult Sheep. Research in Veterinary Science. 17(3). 413–414. 27 indexed citations
13.
Gilmour, N.J.L. & K.W. Angus. (1971). Effect of the rimino phenazine B663 (G30320) on Mycobacterium johnei infection and reinfection in sheep. Journal of Comparative Pathology. 81(2). 221–226. 8 indexed citations
14.
Gilmour, N.J.L.. (1971). The Specificity of the Fluorescent Antibody Test in Rabbits Inoculated with Mycobacterium avium, M. johnei and M. bovis var. B.C.G.. Research in Veterinary Science. 12(3). 295–297. 5 indexed citations
15.
Gilmour, N.J.L.. (1970). The failure of the rimino phenazine B663 (G30320) to reduce the level of experimental Mycobacterium johnei infections in calves.. PubMed. 126(3). v–vi. 4 indexed citations
16.
Gilmour, N.J.L., et al.. (1969). Studies on the hypersensitivity and immunity caused by Mycobacterium johnei adjuvant vaccine in sheep. Journal of Comparative Pathology. 79(3). 341–346. 2 indexed citations
17.
Patterson, D.S.P., S. Berrett, D. Sweasey, & N.J.L. Gilmour. (1969). Plasma enzyme and glycoprotein changes in experimental Mycobacterium johnei infection of calves. Journal of Comparative Pathology. 79(1). 79–85. 5 indexed citations
18.
Gilmour, N.J.L.. (1968). The Effect of the Rimino Phenazene B663 (G30320) on Pre-Clinical M. Johnei Infections in Sheep. British Veterinary Journal. 124(11). 492–497. 8 indexed citations
19.
Nisbet, D.I., N.J.L. Gilmour, & J G. Brotherston. (1962). Quantitative studies of mycobacterium johnei in tissues of sheep. Journal of Comparative Pathology and Therapeutics. 72. 80–IN19. 47 indexed citations
20.
Brotherston, J G., et al.. (1961). Quantitative Studies of Mycobacterium Johnei in the Tissues of Sheep. Journal of Comparative Pathology and Therapeutics. 71. 300–310. 15 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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