Leonard Kusdra

1.3k total citations
11 papers, 953 citations indexed

About

Leonard Kusdra is a scholar working on Physiology, Oncology and Neurology. According to data from OpenAlex, Leonard Kusdra has authored 11 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Oncology and 4 papers in Neurology. Recurrent topics in Leonard Kusdra's work include Alzheimer's disease research and treatments (4 papers), Cancer-related Molecular Pathways (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Leonard Kusdra is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Cancer-related Molecular Pathways (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Leonard Kusdra collaborates with scholars based in United States and Japan. Leonard Kusdra's co-authors include Kathleen Collins, Judy M.Y. Wong, Lynn Pulliam, Victoria Di Sclafani, Noelle E. Huskey, Michael W. Weiner, William J. Jagust, Dai Horiuchi, B. R. Reed and Norbert Schuff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Leonard Kusdra

11 papers receiving 931 citations

Peers

Leonard Kusdra

MB

PHYSI

ONCOL

PMH

NEURO

F. F. Cruz-Sánchez Spain

Haris Zahoor United States

Rosaria Strammiello Italy

Françoise Charbonnier France

János Haskó Hungary

Victoria Shaw United Kingdom

Shiro Sugihara Japan

Emma L. Braine Australia

Kyung‐Chan Choi South Korea

Annette Persson Sweden

F. F. Cruz-Sánchez Spain

Leonard Kusdra

275 ×0.7

MB

303 ×1.3

PHYSI

84 ×0.4

ONCOL

79 ×0.4

PMH

154 ×0.9

NEURO

Citations per year, relative to Leonard Kusdra Leonard Kusdra (= 1×) peers F. F. Cruz-Sánchez

Countries citing papers authored by Leonard Kusdra

Since Specialization

Citations

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

Fields of papers citing papers by Leonard Kusdra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Kusdra

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

All Works

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11 of 11 papers shown

1.

Horiuchi, Dai, Noelle E. Huskey, Leonard Kusdra, et al.. (2012). Chemical-genetic analysis of cyclin dependent kinase 2 function reveals an important role in cellular transformation by multiple oncogenic pathways. Proceedings of the National Academy of Sciences. 109(17). E1019–27. 64 indexed citations

2.

Horiuchi, Dai, Leonard Kusdra, Noelle E. Huskey, et al.. (2012). MYC pathway activation in triple-negative breast cancer is synthetic lethal with CDK inhibition. The Journal of Experimental Medicine. 209(4). 679–696. 265 indexed citations

3.

Horiuchi, Dai, Leonard Kusdra, Noelle E. Huskey, et al.. (2012). MYC pathway activation in triple-negative breast cancer is synthetic lethal with CDK inhibition. The Journal of Cell Biology. 197(1). i1–i1. 4 indexed citations

4.

Zang, Xingxing, P’ng Loke, Jayon Kim, et al.. (2006). A genetic library screen for signaling proteins that interact with phosphorylated T cell costimulatory receptors. Genomics. 88(6). 841–845. 10 indexed citations

5.

Wong, Judy M.Y., Leonard Kusdra, & Kathleen Collins. (2002). Subnuclear shuttling of human telomerase induced by transformation and DNA damage. Nature Cell Biology. 4(9). 731–736. 195 indexed citations

6.

Kusdra, Leonard, Dawn McGuire, & Lynn Pulliam. (2002). Changes in monocyte/macrophage neurotoxicity in the era of HAART: implications for HIV-associated dementia. AIDS. 16(1). 31–38. 39 indexed citations

7.

Pulliam, Lynn, Ian Irwin, Leonard Kusdra, et al.. (2001). CPI-1189 attenuates effects of suspected neurotoxins associated with AIDS dementia: a possible role for ERK activation. Brain Research. 893(1-2). 95–103. 16 indexed citations

8.

Rempel, Hans, Leonard Kusdra, & Lynn Pulliam. (2001). Interleukin‐1β up‐regulates expression of neurofilament light in human neuronal cells. Journal of Neurochemistry. 78(3). 640–645. 11 indexed citations

9.

Kusdra, Leonard, Hans Rempel, Kristine Yaffe, & Lynn Pulliam. (2000). Elevation of CD69+Monocyte/Macrophages in Patients with Alzheimer's Disease. Immunobiology. 202(1). 26–33. 31 indexed citations

10.

Fein, George, Victoria Di Sclafani, Jody Tanabe, et al.. (2000). Hippocampal and cortical atrophy predict dementia in subcortical ischemic vascular disease. Neurology. 55(11). 1626–1635. 317 indexed citations

11.

Kusdra, Leonard, et al.. (1998). A Chemical Puzzle. Journal of Chemical Education. 75(4). 487–487. 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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