J. B. Charles

516 total citations
25 papers, 350 citations indexed

About

J. B. Charles is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Small Animals. According to data from OpenAlex, J. B. Charles has authored 25 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 7 papers in Genetics and 4 papers in Small Animals. Recurrent topics in J. B. Charles's work include Veterinary Oncology Research (12 papers), Virus-based gene therapy research (5 papers) and Infectious Diseases and Mycology (4 papers). J. B. Charles is often cited by papers focused on Veterinary Oncology Research (12 papers), Virus-based gene therapy research (5 papers) and Infectious Diseases and Mycology (4 papers). J. B. Charles collaborates with scholars based in United States, New Zealand and Australia. J. B. Charles's co-authors include E. J. Ehrhart, Douglas H. Thamm, E. J. Ehrhart, Susan E. Lana, Jens C. Eickhoff, Barbara E. Powers, Hiroto Yoshikawa, Susan Μ. LaRue, Kristen Weishaar and Robert B. Rebhun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Molecular Therapy.

In The Last Decade

J. B. Charles

24 papers receiving 344 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. B. Charles United States 13 216 104 94 78 68 25 350
Ha‐Young Lim South Korea 11 254 1.2× 60 0.6× 111 1.2× 117 1.5× 33 0.5× 26 347
Kang-Hoon Lee South Korea 14 77 0.4× 58 0.6× 230 2.4× 22 0.3× 36 0.5× 28 374
Zhendong Gao China 10 245 1.1× 32 0.3× 93 1.0× 7 0.1× 29 0.4× 39 401
Helka Parviainen Finland 14 44 0.2× 248 2.4× 269 2.9× 34 0.4× 21 0.3× 21 577
J. Desmond Robb Canada 11 29 0.1× 41 0.4× 100 1.1× 25 0.3× 77 1.1× 15 397
Laura Nájera Spain 11 24 0.1× 27 0.3× 162 1.7× 9 0.1× 42 0.6× 29 329
Manuel Rebelo Portugal 6 25 0.1× 23 0.2× 71 0.8× 15 0.2× 208 3.1× 6 341
Aoi Shiomi Japan 6 42 0.2× 25 0.2× 87 0.9× 4 0.1× 160 2.4× 7 354
Aasa R. Schjølberg Norway 11 24 0.1× 21 0.2× 127 1.4× 9 0.1× 20 0.3× 19 328
M. R. Caudle United States 10 35 0.2× 34 0.3× 170 1.8× 6 0.1× 180 2.6× 12 565

Countries citing papers authored by J. B. Charles

Since Specialization
Citations

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

Fields of papers citing papers by J. B. Charles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. B. Charles

This figure shows the co-authorship network connecting the top 25 collaborators of J. B. Charles. A scholar is included among the top collaborators of J. B. Charles 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. B. Charles. J. B. Charles 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.
Charles, J. B., et al.. (2024). Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net. SHILAP Revista de lepidopterología. 12(9). 160–160. 3 indexed citations
2.
3.
Charles, J. B., et al.. (2021). Pilot study supporting the existence of novel lymphatic channels within the canine anterior uveal tract using Lyve‐1 and CD31. Veterinary Ophthalmology. 24(4). 354–360. 3 indexed citations
4.
Coy, Jonathan, et al.. (2021). Role of Periostin Expression in Canine Osteosarcoma Biology and Clinical Outcome. Veterinary Pathology. 58(5). 981–993. 2 indexed citations
5.
Thamm, Douglas H., Kristen Weishaar, J. B. Charles, & E. J. Ehrhart. (2019). Phosphorylated KIT as a predictor of outcome in canine mast cell tumours treated with toceranib phosphate or vinblastine. Veterinary and Comparative Oncology. 18(2). 169–175. 15 indexed citations
6.
Weishaar, Kristen, E. J. Ehrhart, Anne C. Avery, et al.. (2017). c-Kit Mutation and Localization Status as Response Predictors in Mast Cell Tumors in Dogs Treated with Prednisone and Toceranib or Vinblastine. Journal of Veterinary Internal Medicine. 32(1). 394–405. 32 indexed citations
7.
Yoshikawa, Hiroto, David G. Maranon, E. J. Ehrhart, et al.. (2014). Predicting clinical outcome in feline oral squamous cell carcinoma: tumour initiating cells, telomeres and telomerase. Veterinary and Comparative Oncology. 14(4). 371–383. 8 indexed citations
8.
Ehrhart, E. J., et al.. (2014). Survivin inhibition via EZN‐3042 in canine lymphoma and osteosarcoma. Veterinary and Comparative Oncology. 14(2). e45–57. 7 indexed citations
9.
Halsey, Charles, Deanna R. Worley, Kaitlin M. Curran, J. B. Charles, & E. J. Ehrhart. (2014). The use of novel lymphatic endothelial cell‐specific immunohistochemical markers to differentiate cutaneous angiosarcomas in dogs. Veterinary and Comparative Oncology. 14(3). 236–244. 18 indexed citations
10.
Modiano, Jaime F., Donald Bellgrau, Gary Cutter, et al.. (2012). Inflammation, Apoptosis, and Necrosis Induced by Neoadjuvant Fas Ligand Gene Therapy Improves Survival of Dogs With Spontaneous Bone Cancer. Molecular Therapy. 20(12). 2234–2243. 33 indexed citations
11.
Yoshikawa, Hiroto, E. J. Ehrhart, J. B. Charles, Douglas H. Thamm, & Susan Μ. LaRue. (2012). Immunohistochemical characterization of feline oral squamous cell carcinoma. American Journal of Veterinary Research. 73(11). 1801–1806. 23 indexed citations
12.
McCue, Patrick M., et al.. (2012). Immunohistochemical localization of Early Pregnancy Factor (Hsp10) in equine embryos. Journal of Equine Veterinary Science. 32(7). 399–399. 2 indexed citations
13.
Ehrhart, E. J., et al.. (2011). Expression and Function of Survivin in Canine Osteosarcoma. Cancer Research. 72(1). 249–259. 39 indexed citations
14.
Chiavaccini, Ludovica, et al.. (2011). Detection of calprotectin and apoptotic activity within the equine colon from horses with black walnut extract-induced laminitis. Veterinary Immunology and Immunopathology. 144(3-4). 366–373. 9 indexed citations
15.
Bohn, Andrea, et al.. (2011). Localization of Canine, Feline, and Mouse Renal Membrane Proteins. Veterinary Pathology. 49(4). 693–703. 16 indexed citations
16.
Charles, J. B., et al.. (2011). Neurolymphomatosis in a Dog With B-Cell Lymphoma. Veterinary Pathology. 49(5). 771–774. 16 indexed citations
17.
Rebhun, Robert B., Susan E. Lana, E. J. Ehrhart, J. B. Charles, & Douglas H. Thamm. (2008). Comparative Analysis of Survivin Expression in Untreated and Relapsed Canine Lymphoma. Journal of Veterinary Internal Medicine. 22(4). 989–995. 29 indexed citations
18.
Lana, Susan E., et al.. (2008). Glucose transporter 1 expression in canine osteosarcoma. Veterinary and Comparative Oncology. 6(2). 133–140. 13 indexed citations
19.
Cunningham, Noble E., J. B. Charles, & Frederick Merk. (1957). The Origins of the American Party System: Three Essays. The William and Mary Quarterly. 14(2). 294–294. 1 indexed citations
20.
Charles, J. B., et al.. (1957). The Origins of the American Party System: Three Essays. The Mississippi Valley Historical Review. 44(1). 127–127.

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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