Lisa D. Brown

509 total citations
20 papers, 359 citations indexed

About

Lisa D. Brown is a scholar working on Parasitology, Infectious Diseases and Insect Science. According to data from OpenAlex, Lisa D. Brown has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Parasitology, 7 papers in Infectious Diseases and 7 papers in Insect Science. Recurrent topics in Lisa D. Brown's work include Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (7 papers) and Insect and Pesticide Research (4 papers). Lisa D. Brown is often cited by papers focused on Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (7 papers) and Insect and Pesticide Research (4 papers). Lisa D. Brown collaborates with scholars based in United States, United Kingdom and Panama. Lisa D. Brown's co-authors include Kevin R. Macaluso, Martin F. Schneider, Lane D. Foil, Julián F. Hillyer, Erick O. Hernández‐Ochoa, Christopher W. Ward, George G. Rodney, Yewei Liu, Rebecca C. Christofferson and Fábio Del Piero and has published in prestigious journals such as Molecular Ecology, American Journal of Physiology-Cell Physiology and Journal of Experimental Zoology.

In The Last Decade

Lisa D. Brown

19 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa D. Brown United States 10 196 122 91 91 83 20 359
Thomas Hart United States 13 162 0.8× 166 1.4× 67 0.7× 26 0.3× 53 0.6× 24 405
Nanda P. Gudderra United States 8 243 1.2× 88 0.7× 52 0.6× 62 0.7× 89 1.1× 8 443
Jignesh Patel United States 12 104 0.5× 65 0.5× 47 0.5× 29 0.3× 123 1.5× 25 377
Tomáš Bílý Czechia 9 150 0.8× 174 1.4× 192 2.1× 21 0.2× 92 1.1× 25 418
Joel Mancuso United States 10 220 1.1× 89 0.7× 37 0.4× 147 1.6× 425 5.1× 11 698
Ahmet Çarhan Türkiye 15 70 0.4× 330 2.7× 200 2.2× 62 0.7× 93 1.1× 36 552
Michal Gaži United States 8 89 0.5× 110 0.9× 62 0.7× 28 0.3× 139 1.7× 16 355
Paul J. Husak United States 6 72 0.4× 40 0.3× 80 0.9× 123 1.4× 112 1.3× 7 454
R. W. Cook United Kingdom 16 78 0.4× 114 0.9× 23 0.3× 86 0.9× 65 0.8× 23 492
Vitali Proutski United Kingdom 8 45 0.2× 213 1.7× 273 3.0× 32 0.4× 128 1.5× 14 463

Countries citing papers authored by Lisa D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Lisa D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa D. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa D. Brown. A scholar is included among the top collaborators of Lisa D. 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 Lisa D. Brown. Lisa D. 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.
2.
Brown, Lisa D., et al.. (2022). Detection of Bartonella spp. and Rickettsia spp. in cat fleas (Ctenocephalides felis) collected from free-roaming domestic cats in southeastern Georgia, USA. Veterinary Parasitology Regional Studies and Reports. 32. 100743–100743. 4 indexed citations
3.
Lin, N., et al.. (2022). Immune defense mechanisms against a systemic bacterial infection in the cat flea (Ctenocephalides felis). Journal of Invertebrate Pathology. 195. 107850–107850. 2 indexed citations
4.
Brown, Lisa D., et al.. (2021). Reactive oxygen species-mediated immunity against bacterial infection in the gut of cat fleas (Ctenocephalides felis). Insect Biochemistry and Molecular Biology. 136. 103620–103620. 7 indexed citations
5.
Durden, Lance A., et al.. (2020). Fleas (Siphonaptera) Parasitizing Peridomestic and Indigenous Mammals in Panamá and Screening of Selected Fleas for Vector-Borne Bacterial Pathogens. Journal of Medical Entomology. 58(3). 1316–1321. 4 indexed citations
6.
7.
Brown, Lisa D.. (2019). Immunity of fleas (Order Siphonaptera). Developmental & Comparative Immunology. 98. 76–79. 9 indexed citations
8.
Brown, Lisa D., et al.. (2017). Transstadial transmission of larval hemocoelic infection negatively affects development and adult female longevity in the mosquito Anopheles gambiae. Journal of Invertebrate Pathology. 151. 21–31. 14 indexed citations
9.
Healy, Sean P., et al.. (2017). Effect of Rickettsia felis Strain Variation on Infection, Transmission, and Fitness in the Cat Flea (Siphonaptera: Pulicidae). Journal of Medical Entomology. 54(4). 1037–1043. 8 indexed citations
10.
Brown, Lisa D., et al.. (2016). Transmission mechanisms of an emerging insect-borne rickettsial pathogen. Parasites & Vectors. 9(1). 237–237. 19 indexed citations
11.
Brown, Lisa D. & Kevin R. Macaluso. (2016). Rickettsia felis, an Emerging Flea-Borne Rickettsiosis. Current Tropical Medicine Reports. 3(2). 27–39. 135 indexed citations
12.
Brown, Lisa D., et al.. (2015). Cofeeding intra‐ and interspecific transmission of an emerging insect‐borne rickettsial pathogen. Molecular Ecology. 24(21). 5475–5489. 33 indexed citations
13.
Giraldo, Alan, et al.. (2013). Turtle ectoparasites from the Pacific coastal region of Colombia. Biota Neopropica. 13(3). 74–79. 6 indexed citations
14.
Mu, Xiaodong, Lisa D. Brown, Yewei Liu, & Martin F. Schneider. (2007). Roles of the calcineurin and CaMK signaling pathways in fast-to-slow fiber type transformation of cultured adult mouse skeletal muscle fibers. Physiological Genomics. 30(3). 300–312. 25 indexed citations
15.
Brown, Lisa D., George G. Rodney, Erick O. Hernández‐Ochoa, Christopher W. Ward, & Martin F. Schneider. (2006). Ca2+ sparks and T tubule reorganization in dedifferentiating adult mouse skeletal muscle fibers. American Journal of Physiology-Cell Physiology. 292(3). C1156–C1166. 36 indexed citations
16.
Du, Yingzi, et al.. (2006). Automatic Ca2+ Sparks Detection System. 9. 1941–1944. 1 indexed citations
17.
Brown, Lisa D. & Martin F. Schneider. (2002). DELAYED DEDIFFERENTIATION AND RETENTION OF PROPERTIES IN DISSOCIATED ADULT SKELETAL MUSCLE FIBERS IN VITRO. In Vitro Cellular & Developmental Biology - Animal. 38(7). 411–411. 18 indexed citations
18.
Brown, Lisa D. & Marie E. Cantino. (2001). Nonuniform distribution of myosin light chains within the thick filaments of lobster slow muscle: Immunocytochemical study. Journal of Experimental Zoology. 290(1). 6–17. 1 indexed citations
19.
Cantino, Marie E., Lisa D. Brown, Michael Chew, Pradeep K. Luther, & John M. Squire. (2000). A-band architecture in vertebrate skeletal muscle: polarity of the myosin head array. Journal of Muscle Research and Cell Motility. 21(7). 681–690. 11 indexed citations
20.
Brown, Lisa D. & Marie E. Cantino. (1998). Immunocytochemical Localization of Myosin Light Chains in the Abdominal Superficial Flexor Muscles of the American Lobster, Homarus Americanus. Microscopy and Microanalysis. 4(S2). 1118–1119. 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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