Karen A. Wightman

554 total citations
10 papers, 437 citations indexed

About

Karen A. Wightman is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Karen A. Wightman has authored 10 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Karen A. Wightman's work include Sarcoma Diagnosis and Treatment (2 papers), Veterinary Oncology Research (2 papers) and Clusterin in disease pathology (2 papers). Karen A. Wightman is often cited by papers focused on Sarcoma Diagnosis and Treatment (2 papers), Veterinary Oncology Research (2 papers) and Clusterin in disease pathology (2 papers). Karen A. Wightman collaborates with scholars based in United States and Canada. Karen A. Wightman's co-authors include George E. Sandusky, William W. Carlton, David F. Wozniak, Gerald G. Long, Charles A. Johnson, Jeffrey W. Horn, Nuri B. Farber, John W. Olney, R. W. Storts and Andrew S. Fix and has published in prestigious journals such as Experimental Neurology, Cancer Letters and Toxicologic Pathology.

In The Last Decade

Karen A. Wightman

10 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen A. Wightman United States 9 163 145 94 53 50 10 437
Amapola Autillo‐Touati France 13 278 1.7× 216 1.5× 150 1.6× 36 0.7× 132 2.6× 25 717
Karen Gorse United States 14 120 0.7× 353 2.4× 41 0.4× 33 0.6× 57 1.1× 21 633
Meena Bhattacharjee United States 11 52 0.3× 281 1.9× 33 0.4× 62 1.2× 23 0.5× 23 633
Kathleen Mathers United Kingdom 10 58 0.4× 245 1.7× 23 0.2× 18 0.3× 27 0.5× 10 574
Marianne Wright Norway 13 143 0.9× 158 1.1× 86 0.9× 40 0.8× 27 0.5× 29 448
Koichi Murakami Japan 13 107 0.7× 135 0.9× 33 0.4× 70 1.3× 43 0.9× 30 495
Su Yeon Choi South Korea 8 62 0.4× 121 0.8× 47 0.5× 39 0.7× 27 0.5× 13 362
Marina Siebert Brazil 14 118 0.7× 146 1.0× 48 0.5× 46 0.9× 22 0.4× 51 581
Paula Hoffman United States 11 172 1.1× 452 3.1× 46 0.5× 46 0.9× 8 0.2× 18 749
Louis T. Dang United States 12 166 1.0× 535 3.7× 26 0.3× 18 0.3× 258 5.2× 28 801

Countries citing papers authored by Karen A. Wightman

Since Specialization
Citations

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

Fields of papers citing papers by Karen A. Wightman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen A. Wightman. 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 Karen A. Wightman. The network helps show where Karen A. Wightman may publish in the future.

Co-authorship network of co-authors of Karen A. Wightman

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

All Works

10 of 10 papers shown
2.
Helvering, Leah M., et al.. (1993). Expression of TRPM-2 during involution and regeneration of the rat liver. Cancer Letters. 71(1-3). 133–142. 17 indexed citations
3.
Zakeri, Zahra, Marcello Curto, Karen A. Wightman, et al.. (1992). Developmental expression of the S35‐S45/SGP‐2/TRPM‐2 gene in rat testis and epididymis. Molecular Reproduction and Development. 33(4). 373–384. 17 indexed citations
4.
Sandusky, George E., Karen A. Wightman, & William W. Carlton. (1991). Immunocytochemical study of tissues from clinically normal dogs and of neoplasms, using keratin monoclonal antibodies. American Journal of Veterinary Research. 52(4). 613–618. 22 indexed citations
5.
Novilla, Meliton N., et al.. (1991). A Retrospective Survey of Endocardial Proliferative Lesions in Rats. Veterinary Pathology. 28(2). 156–165. 15 indexed citations
6.
Sandusky, George E., Carolyn S. Van Pelt, Glen C. Todd, & Karen A. Wightman. (1988). An Immunocytochemical Study of Pituitary Adenomas and Focal Hyperplasia in Old Sprague-Dawley and Fischer 344 Rats. Toxicologic Pathology. 16(3). 376–380. 28 indexed citations
7.
Sandusky, George E., William W. Carlton, & Karen A. Wightman. (1987). Diagnostic Immunohistochemistry of Canine Round Cell Tumors. Veterinary Pathology. 24(6). 495–499. 65 indexed citations
8.
Sandusky, George E., Sandy White, & Karen A. Wightman. (1986). Canine atrioventricular node: Scanning electron microscopy and enzyme histochemistry. American Journal of Veterinary Research. 47(2). 304–308. 2 indexed citations
9.
Sandusky, George E., et al.. (1986). Use of Monoclonal Antibodies to Human Lymphocytes to Identify Lymphocyte Subsets in Lymph Nodes of the Rhesus Monkey and the Dog. Journal of Medical Primatology. 15(6). 441–451. 25 indexed citations
10.
Sandusky, George E., William W. Carlton, & Karen A. Wightman. (1985). Immunohistochemical Staining For S100 Protein in the Diagnosis of Canine Amelanotic Melanoma. Veterinary Pathology. 22(6). 577–581. 35 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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