Charles Kuszynski

3.3k total citations · 1 hit paper
65 papers, 2.8k citations indexed

About

Charles Kuszynski is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Charles Kuszynski has authored 65 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Immunology. Recurrent topics in Charles Kuszynski's work include Virus-based gene therapy research (9 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Immune Cell Function and Interaction (7 papers). Charles Kuszynski is often cited by papers focused on Virus-based gene therapy research (9 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Immune Cell Function and Interaction (7 papers). Charles Kuszynski collaborates with scholars based in United States, Czechia and Belgium. Charles Kuszynski's co-authors include Debasis Bagchi, S. K. Joshi, Manashi Bagchi, S.J. Stohs, Dipak K. Das, Sidhartha D. Ray, Angie Rizzino, J. Balmoori, Robert Langenbach and Thomas E. Adrian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Charles Kuszynski

65 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Free radicals and grape seed proanthocyanidin extract: importance in human health and disease prevention

2000 899 citations Debasis Bagchi, Manashi Bagchi et al. Toxicology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Kuszynski United States	26	1.0k	523	393	336	302	65	2.8k
Ranajoy Chattopadhyay United States	19	1.5k 1.4×	243 0.5×	314 0.8×	280 0.8×	238 0.8×	20	3.0k
Eun Hee Han South Korea	31	1.6k 1.5×	299 0.6×	363 0.9×	328 1.0×	299 1.0×	128	3.3k
Kyu‐Shik Jeong South Korea	28	1.2k 1.2×	328 0.6×	191 0.5×	254 0.8×	258 0.9×	152	3.2k
Sachiko Okabe Japan	36	1.5k 1.4×	700 1.3×	463 1.2×	358 1.1×	169 0.6×	78	3.9k
Halagowder Devaraj India	31	1.2k 1.2×	236 0.5×	321 0.8×	292 0.9×	348 1.2×	108	2.8k
Kyung‐A Hwang South Korea	39	1.5k 1.4×	356 0.7×	464 1.2×	472 1.4×	370 1.2×	130	3.8k
Soon‐Cheol Ahn South Korea	32	1.5k 1.5×	196 0.4×	423 1.1×	475 1.4×	270 0.9×	127	3.3k
Mamoru Isemura Japan	37	1.5k 1.5×	773 1.5×	376 1.0×	425 1.3×	256 0.8×	123	4.1k
Hiroyuki Tsuda Japan	32	1.2k 1.2×	297 0.6×	451 1.1×	657 2.0×	173 0.6×	141	3.7k
Magdalena Górska‐Ponikowska Poland	24	989 1.0×	382 0.7×	132 0.3×	390 1.2×	171 0.6×	88	2.8k

Countries citing papers authored by Charles Kuszynski

Since Specialization

Citations

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

Fields of papers citing papers by Charles Kuszynski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Kuszynski

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

All Works

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20 of 20 papers shown

Massilamany, Chandirasegaran, et al.. (2015). Versatility of using major histocompatibility complex class II dextramers for derivation and characterization of antigen-specific, autoreactive T cell hybridomas. Journal of Immunological Methods. 426. 86–94. 4 indexed citations

Liyanage, Namal P. M., Karoline C. Manthey, Rohana P. Dassanayake, et al.. (2010). Helicobacter hepaticus Cytolethal Distending Toxin Causes Cell Death in Intestinal Epithelial Cells via Mitochondrial Apoptotic Pathway. Helicobacter. 15(2). 98–107. 37 indexed citations

Fernando, M. Rohan, et al.. (2008). Effect of Thioltransferase (Glutaredoxin) Deletion on Cellular Sensitivity to Oxidative Stress and Cell Proliferation in Lens Epithelial Cells of Thioltransferase Knockout Mouse. Investigative Ophthalmology & Visual Science. 49(10). 4497–4497. 47 indexed citations

Robinson, Simon N., et al.. (2005). Evidence for a qualitative hierarchy within the Hoechst-33342 ‘side population’ (SP) of murine bone marrow cells. Bone Marrow Transplantation. 35(8). 807–818. 23 indexed citations

Pavletic, Steven Z., R. Gregory Bociek, James M. Foran, et al.. (2003). Lymphodepleting effects and safety of pentostatin for nonmyeloablative allogeneic stem-cell transplantation1. Transplantation. 76(5). 877–881. 12 indexed citations

Joshi, S. K., et al.. (2002). Comparison of Phenotypic and Functional Dendritic Cells Derived from Human Umbilical Cord Blood and Peripheral Blood Mononuclear Cells. Journal of Hematotherapy & Stem Cell Research. 11(2). 337–347. 10 indexed citations

Weekes, Colin D., Charles Kuszynski, & J. Graham Sharp. (2001). VLA-4 Mediated Adhesion to Bone Marrow Stromal Cells Confers Chemoresistance to Adherent Lymphoma Cells. Leukemia & lymphoma. 40(5-6). 631–645. 19 indexed citations

Joshi, S. K., Charles Kuszynski, & Debasis Bagchi. (2001). The Cellular and Molecular Basis of Health Benefits of Grape Seed Proanthocyanidin Extract. Current Pharmaceutical Biotechnology. 2(2). 187–200. 92 indexed citations

Beschorner, W. E., Debra L. Sudan, Tianyu Yang, et al.. (2000). Surrogate tolerogenesis: possible pretransplant induction of accommodation of pig xenografts. Transplantation Proceedings. 32(5). 994–995. 4 indexed citations

10.

Bagchi, Debasis, S. K. Joshi, Manashi Bagchi, et al.. (2000). Cadmium- and chromium-induced oxidative stress, DNA damage, and apoptotic cell death in cultured human chronic myelogenous leukemic K562 cells, promyelocytic leukemic HL-60 cells, and normal human peripheral blood mononuclear cells. Journal of Biochemical and Molecular Toxicology. 14(1). 33–41. 109 indexed citations

11.

Bagchi, Debasis, Manashi Bagchi, S.J. Stohs, et al.. (2000). Free radicals and grape seed proanthocyanidin extract: importance in human health and disease prevention. Toxicology. 148(2-3). 187–197. 899 indexed citations breakdown →

12.

Ding, Xianzhong, Charles Kuszynski, Tarek H. El‐Metwally, & Thomas E. Adrian. (1999). Lipoxygenase Inhibition Induced Apoptosis, Morphological Changes, and Carbonic Anhydrase Expression in Human Pancreatic Cancer Cells. Biochemical and Biophysical Research Communications. 266(2). 392–399. 113 indexed citations

13.

Weekes, Colin D., Samuel J. Pirruccello, Julie M. Vose, Charles Kuszynski, & John Sharp. (1998). Lymphoma Cells Associated with Bone Marrow Stromal Cells in Culture Exhibit Altered Growth and Survival. Leukemia & lymphoma. 31(1-2). 151–165. 14 indexed citations

14.

Traystman, Monica D., Gerald Cochran, Charles Kuszynski, et al.. (1997). Comparison of Molecular Cytokeratin 19 Reverse Transcriptase Polymerase Chain Reaction (CK19 RT-PCR) and Immunocytochemical Detection of Micrometastatic Breast Cancer Cells in Hematopoietic Harvests. Journal of Hematotherapy. 6(6). 551–561. 28 indexed citations

15.

Balaram, Sandhya K., et al.. (1997). Cell adhesion molecules and insulin-like growth factor-1 in vascular disease. Journal of Vascular Surgery. 25(5). 866–876. 28 indexed citations

16.

Carson, Steven D., Charles Kuszynski, & Samuel J. Pirruccello. (1996). Fibroblasts restrict tissue factor from vesicles which form in response to low concentrations of detergent. Blood Coagulation & Fibrinolysis. 7(3). 314–324. 8 indexed citations

17.

Kuszynski, Charles, et al.. (1994). Flow Cytometric Analyses of Lymphocyte Subsets in Peripheral Blood and Lymphoid Tissues of Gnotobiotic Calves during Primary Acute Postnatal Infections of Bovine Viral Diarrhea Virus. Viral Immunology. 7(3). 141–149. 5 indexed citations

18.

Rizzino, Angie, et al.. (1988). Production and utilization of growth factors related to fibroblast growth factor by embryonal carcinoma cells and their differentiated cells. Developmental Biology. 129(1). 61–71. 48 indexed citations

19.

Tatsumi, E, Shinji Harada, Joanne Yetz, et al.. (1983). EPSTEIN-BARR VIRUS AND CHRONIC LYMPHADENOMEGALY IN MALE HOMOSEXUALS WITH ACQUIRED IMMUNODEFICIENCY SYNDROME (AIDS). PubMed. 1(1). 59–82. 21 indexed citations

20.

Langenbach, Robert, et al.. (1979). Maintenance of adult rat hepatocytes on C3H/10T1/2 cells.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 39(9). 3509–14. 50 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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