Karl Garsha

453 total citations
13 papers, 311 citations indexed

About

Karl Garsha is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Karl Garsha has authored 13 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Karl Garsha's work include Advanced Fluorescence Microscopy Techniques (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Karl Garsha is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Karl Garsha collaborates with scholars based in United States, Switzerland and Sweden. Karl Garsha's co-authors include Barbara Pilas, James B. Nardi, Michael R. Kanost, Shufei Zhuang, Lei Tang, John K. Hurley, Larry E. Morrison, Thomas M. Grogan, Patrick Brunhoeber and Lidija Pestic‐Dragovich and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Breast Cancer Research and Treatment.

In The Last Decade

Karl Garsha

13 papers receiving 307 citations

Peers

Karl Garsha
Aaron Leiblich United Kingdom
Klas Hatje Germany
Maja Mandić United States
F. J. Keith United Kingdom
Jelle Jacobs Belgium
Malvika Koundinya United States
SD Rosen Germany
Karl Garsha
Citations per year, relative to Karl Garsha Karl Garsha (= 1×) peers Melissa Gilbert‐Ross

Countries citing papers authored by Karl Garsha

Since Specialization
Citations

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

Fields of papers citing papers by Karl Garsha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Garsha

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

All Works

13 of 13 papers shown
1.
Phillips, Gail D. Lewis, et al.. (2021). Activity of trastuzumab emtansine (T-DM1) in 3D cell culture. Breast Cancer Research and Treatment. 188(1). 65–75. 11 indexed citations
2.
Zhang, Wenjun, Tobin Jones, Srabani Bhaumik, et al.. (2017). Fully automated 5-plex fluorescent immunohistochemistry with tyramide signal amplification and same species antibodies. Laboratory Investigation. 97(7). 873–885. 76 indexed citations
3.
Roberts, Esteban, Thomas Jacob, Karl Garsha, et al.. (2016). Mapping cancer signaling networks by an integrated multiplexed tissue imaging platform. 4(3). 174–193. 3 indexed citations
4.
Zhang, Wenjun, Tobin Jones, Srabani Bhaumik, et al.. (2015). Automated 5-plex fluorescent immunohistochemistry with tyramide signal amplification using antibodies from the same species. Journal for ImmunoTherapy of Cancer. 3(Suppl 2). P111–P111. 1 indexed citations
5.
Garsha, Karl, Gary A. Pestano, Dea Nagy, et al.. (2015). Multi-modal contrast of tissue anatomy enables correlative biomarker imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9316. 931608–931608. 1 indexed citations
8.
Wilkinson, Sarah T., Patrick Brunhoeber, Karl Garsha, et al.. (2011). Partial plasma cell differentiation as a mechanism of lost major histocompatibility complex class II expression in diffuse large B-cell lymphoma. Blood. 119(6). 1459–1467. 42 indexed citations
9.
Svensson, Maria A., Christopher J. Lafargue, Theresa Y. MacDonald, et al.. (2010). Testing mutual exclusivity of ETS rearranged prostate cancer. Laboratory Investigation. 91(3). 404–412. 58 indexed citations
10.
Nardi, James B., et al.. (2005). Neuroglian-positive plasmatocytes of Manduca sexta and the initiation of hemocyte attachment to foreign surfaces. Developmental & Comparative Immunology. 30(5). 447–462. 42 indexed citations
11.
Garsha, Karl. (2004). Enabling high-precision nonlinear three-dimensional photoprocessing of premeditated designs on a conventional multiphoton imaging system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5323. 279–279. 1 indexed citations
12.
Nardi, James B., et al.. (2003). Hematopoietic organs of Manduca sexta and hemocyte lineages. Development Genes and Evolution. 213(10). 477–491. 65 indexed citations
13.
Garsha, Karl. (2003). Effects of femtosecond pulse dispersion precompensation on average power damage thresholds for live cell imaging: implications for relative roles of linear and nonlinear absorption in live cell imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4963. 134–134. 3 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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