J. Brown

1.2k total citations
33 papers, 950 citations indexed

About

J. Brown is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, J. Brown has authored 33 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Neurology and 6 papers in Immunology. Recurrent topics in J. Brown's work include Botulinum Toxin and Related Neurological Disorders (10 papers), Microbial infections and disease research (4 papers) and Neurological disorders and treatments (4 papers). J. Brown is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (10 papers), Microbial infections and disease research (4 papers) and Neurological disorders and treatments (4 papers). J. Brown collaborates with scholars based in United States, United Kingdom and Italy. J. Brown's co-authors include Lura C. Williamson, Cesare Montecucco, Elaine A. Neale, Jane L. Halpern, Jun Sakùrai, Petra C. F. Oyston, Richard W. Titball, Bal Ram Singh, J W Ezzell and Robert A. Ogert and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Analytical Biochemistry.

In The Last Decade

J. Brown

30 papers receiving 897 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. Brown United States 15 331 312 264 143 139 33 950
Martina Hudel Germany 15 398 1.2× 208 0.7× 118 0.4× 79 0.6× 62 0.4× 25 1.1k
J E Alouf France 15 567 1.7× 140 0.4× 322 1.2× 86 0.6× 176 1.3× 28 1.4k
Wenwei Li China 21 411 1.2× 178 0.6× 215 0.8× 116 0.8× 82 0.6× 55 1.3k
Tara Kenny United States 13 285 0.9× 132 0.4× 303 1.1× 58 0.4× 139 1.0× 31 759
Mengfei Ho United States 21 693 2.1× 179 0.6× 98 0.4× 146 1.0× 87 0.6× 52 1.5k
M. C. Hardegree United States 22 481 1.5× 347 1.1× 141 0.5× 192 1.3× 84 0.6× 43 1.3k
Jacqueline M. Tremblay United States 21 522 1.6× 142 0.5× 209 0.8× 95 0.7× 41 0.3× 41 1.1k
Diana Pauly Germany 24 495 1.5× 155 0.5× 136 0.5× 76 0.5× 105 0.8× 45 1.5k
Oliver Knapp Germany 18 532 1.6× 53 0.2× 250 0.9× 58 0.4× 115 0.8× 25 894
Michael J. Root United States 18 464 1.4× 70 0.2× 477 1.8× 59 0.4× 39 0.3× 26 1.2k

Countries citing papers authored by J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of J. Brown. A scholar is included among the top collaborators of J. Brown 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. Brown. J. Brown 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.
Tomic, Milan T., Carlos A. García, Jianlong Lou, et al.. (2013). Recombinant monoclonal-antibody-based antitoxins for treatment of types A, B, and E botulism. Toxicon. 68. 99–100.
2.
Hewetson, John F., Stephen F. Little, Bruce E. Ivins, et al.. (2008). An in vivo passive protection assay for the evaluation of immunity in AVA-vaccinated individuals. Vaccine. 26(33). 4262–4266. 19 indexed citations
3.
Brown, J., et al.. (2007). Intralaboratory Validation of Cell-Free Translation Assay for Detecting Ricin Toxin Biological Activity. Journal of AOAC International. 90(5). 1316–1325. 6 indexed citations
4.
Abshire, T. G., J. Brown, & J W Ezzell. (2005). Production and Validation of the Use of Gamma Phage for Identification of Bacillus anthracis. Journal of Clinical Microbiology. 43(9). 4780–4788. 62 indexed citations
5.
Smith, Leonard A., et al.. (2003). Evaluation of a botulinum fragment C-based ELISA for measuring the humoral immune response in primates. Biologicals. 31(1). 17–24. 14 indexed citations
6.
Yee, Erin J. & J. Brown. (1999). Quantitation of human haptoglobin: comparative ELISA studies using adsorption and capture methods. Journal of Immunological Methods. 225(1-2). 125–130. 3 indexed citations
7.
Montgomery, Vicki A., et al.. (1999). The immunogenicity in humans of a botulinum type F vaccine. Vaccine. 18(7-8). 728–735. 18 indexed citations
8.
Feng, Yue‐Jin, et al.. (1997). Detection and Interpretation of Lysergic Acid Diethylamide Results by Immunoassay Screening of Urine in Various Testing Groups. Journal of Analytical Toxicology. 21(3). 181–184. 16 indexed citations
9.
Doellgast, George J., J. Brown, James A. Koufman, & C L Hatheway. (1997). Sensitive assay for measurement of antibodies to Clostridium botulinum neurotoxins A, B, and E: use of hapten-labeled-antibody elution to isolate specific complexes. Journal of Clinical Microbiology. 35(3). 578–583. 20 indexed citations
10.
Williamson, Lura C., Jane L. Halpern, Cesare Montecucco, J. Brown, & Elaine A. Neale. (1996). Clostridial Neurotoxins and Substrate Proteolysis in Intact Neurons. Journal of Biological Chemistry. 271(13). 7694–7699. 156 indexed citations
11.
Middlebrook, John L. & J. Brown. (1995). Immunodiagnosis and Immunotherapy of Tetanus and Botulinum Neurotoxins. Current topics in microbiology and immunology. 195. 89–122. 27 indexed citations
12.
Williamson, E. Diane, et al.. (1994). Evaluation of a new cytotoxicity assay forClostridium perfringenstype D epsilon toxin. FEMS Microbiology Letters. 116(2). 161–167. 59 indexed citations
13.
Brown, J.. (1994). Introductory Clinical Pharmacology. Gastroenterology Nursing. 17(1). 39–39. 11 indexed citations
15.
Brown, J. & A.Jerald Ainsworth. (1992). A Flow Microsphere Inhibition Immunoassay (FMII) for Detecting Paratope Binding Anti-Idiotypic Antibodies. Immunological Investigations. 21(6). 565–580. 1 indexed citations
16.
Ogert, Robert A., J. Brown, Bal Ram Singh, Lisa C. Shriver‐Lake, & Frances S. Ligler. (1992). Detection of Clostridium botulinum toxin A using a fiber optic-based biosensor. Analytical Biochemistry. 205(2). 306–312. 111 indexed citations
17.
Eckels, Kenneth H., Robert McN. Scott, William H. Bancroft, et al.. (1984). Selection of Attenuated Dengue 4 Viruses by Serial Passage in Primary Kidney Cells. American Journal of Tropical Medicine and Hygiene. 33(4). 684–689. 49 indexed citations
18.
Brown, J., et al.. (1981). Identification of platelet receptors for bovine von Willebrand factor on human platelets by a new platelet receptor test. Biochimica et Biophysica Acta (BBA) - General Subjects. 678(2). 187–193. 1 indexed citations
19.
Brown, J., et al.. (1979). A Study of Klebsiella pneumoniae Infection in the Uterus of the Mare. American Journal of Veterinary Research. 40(11). 1523–1530. 11 indexed citations
20.
Corstvet, Richard E., et al.. (1979). Isolation of Klebsiella pneumoniae from the urogenital tract of experimentally infected mares.. PubMed. 317–20. 5 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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