Qingzhong Kong

5.1k total citations
97 papers, 2.9k citations indexed

About

Qingzhong Kong is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Qingzhong Kong has authored 97 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 34 papers in Neurology and 30 papers in Nutrition and Dietetics. Recurrent topics in Qingzhong Kong's work include Prion Diseases and Protein Misfolding (58 papers), Neurological diseases and metabolism (32 papers) and Trace Elements in Health (30 papers). Qingzhong Kong is often cited by papers focused on Prion Diseases and Protein Misfolding (58 papers), Neurological diseases and metabolism (32 papers) and Trace Elements in Health (30 papers). Qingzhong Kong collaborates with scholars based in United States, China and Netherlands. Qingzhong Kong's co-authors include Pierluigi Gambetti, Kevin O. Lillehei, Wen‐Quan Zou, Shu G. Chen, Piero Parchi, Nancy Maizels, Ignazio Calì, Witold K. Surewicz, Neena Singh and Krystyna Surewicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Qingzhong Kong

96 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingzhong Kong United States 29 2.4k 1.1k 795 299 190 97 2.9k
Corinne Ida Lasmézas France 33 2.8k 1.2× 1.3k 1.2× 969 1.2× 463 1.5× 307 1.6× 48 3.3k
Giuseppina Pitari Italy 20 716 0.3× 359 0.3× 141 0.2× 131 0.4× 36 0.2× 51 1.5k
Tassula Proikas‐Cezanne Germany 28 1.8k 0.8× 174 0.2× 74 0.1× 578 1.9× 327 1.7× 55 4.0k
Jens Tyedmers Germany 18 1.7k 0.7× 183 0.2× 117 0.1× 235 0.8× 99 0.5× 28 2.2k
G. D. Hunter United States 24 1.2k 0.5× 183 0.2× 396 0.5× 147 0.5× 48 0.3× 50 2.2k
Christopher R. McMaster Canada 36 2.5k 1.1× 74 0.1× 91 0.1× 258 0.9× 65 0.3× 99 3.6k
Martin Latterich United States 25 2.9k 1.2× 75 0.1× 68 0.1× 201 0.7× 115 0.6× 35 3.8k
Stephanie E. Brown United Kingdom 20 1.7k 0.7× 67 0.1× 96 0.1× 239 0.8× 49 0.3× 27 2.3k
Lifeng Pan China 31 1.8k 0.8× 135 0.1× 39 0.0× 180 0.6× 159 0.8× 78 2.7k
Silvia Biocca Italy 32 2.0k 0.8× 87 0.1× 61 0.1× 180 0.6× 220 1.2× 70 2.9k

Countries citing papers authored by Qingzhong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Qingzhong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingzhong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Qingzhong Kong. A scholar is included among the top collaborators of Qingzhong Kong 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 Qingzhong Kong. Qingzhong Kong 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.
Orrú, Christina D., Yvonne Cohen, Rossana Occhipinti, et al.. (2023). A novel subtype of sporadic Creutzfeldt–Jakob disease with PRNP codon 129MM genotype and PrP plaques. Acta Neuropathologica. 146(1). 121–143. 5 indexed citations
2.
Moore, S. Jo, Catherine E. Vrentas, M. Heather West Greenlee, et al.. (2020). Novel Strain of the Chronic Wasting Disease Agent Isolated From Experimentally Inoculated Elk With LL132 Prion Protein. Scientific Reports. 10(1). 3148–3148. 23 indexed citations
3.
Camacho, Manuel V., Glenn C. Telling, Qingzhong Kong, Pierluigi Gambetti, & Silvio Notari. (2019). Role of prion protein glycosylation in replication of human prions by protein misfolding cyclic amplification. Laboratory Investigation. 99(11). 1741–1748. 13 indexed citations
4.
Kurt, Timothy D., Lin Jiang, Natalia Fernández‐Borges, et al.. (2015). Human prion protein sequence elements impede cross-species chronic wasting disease transmission. Journal of Clinical Investigation. 125(4). 1485–1496. 61 indexed citations
5.
Xiao, Xiangzhu, Jue Yuan, Stéphane Haı̈k, et al.. (2013). Glycoform-Selective Prion Formation in Sporadic and Familial Forms of Prion Disease. PLoS ONE. 8(3). e58786–e58786. 31 indexed citations
6.
Xiao, Xiangzhu, Jue Yuan, Ignazio Calì, et al.. (2013). Correction: Glycoform-Selective Prion Formation in Sporadic and Familial Forms of Prion Disease. PLoS ONE. 8(10). 17 indexed citations
7.
Haldiman, Tracy, Chae Kim, Yvonne Cohen, et al.. (2013). Co-existence of Distinct Prion Types Enables Conformational Evolution of Human PrPSc by Competitive Selection. Journal of Biological Chemistry. 288(41). 29846–29861. 41 indexed citations
8.
Zou, Wen‐Quan, Jan Langeveld, Xiangzhu Xiao, et al.. (2010). PrP Conformational Transitions Alter Species Preference of a PrP-specific Antibody. Journal of Biological Chemistry. 285(18). 13874–13884. 40 indexed citations
9.
Das, Dola, Xiu Luo, Ajay Singh, et al.. (2010). Paradoxical Role of Prion Protein Aggregates in Redox-Iron Induced Toxicity. PLoS ONE. 5(7). e11420–e11420. 19 indexed citations
10.
Ilchenko, Serguei, Silvio Notari, Qiwei Yang, et al.. (2010). Characterization of the Prion Protein in Human Urine. Journal of Biological Chemistry. 285(40). 30489–30495. 13 indexed citations
11.
Feng, Lei, et al.. (2009). Tetrazolium violet induces apoptosis via caspases-8, -9 activation and Fas/FasL up-regulation in Rat C6 glioma cells. Archives of Pharmacal Research. 32(4). 575–581. 4 indexed citations
12.
Kong, Qingzhong. (2008). Design of Two-finger Translation Gripper of Articulated Robot. Mechanical Engineering & Automation. 3 indexed citations
13.
Kong, Qingzhong, et al.. (2008). Tetrazolium violet inhibits cell growth and induces cell death in C127 mouse breast tumor cells. Chemico-Biological Interactions. 174(1). 19–26. 2 indexed citations
14.
Kong, Qingzhong. (2006). Digital PID Control of AC Servo Position System. Mechanical Engineering & Automation. 1 indexed citations
15.
Zhang, Nan, et al.. (2005). Tetrazolium violet induces G0/G1 arrest and apoptosis in brain tumor cells. Journal of Neuro-Oncology. 77(2). 109–115. 5 indexed citations
16.
Kong, Qingzhong, Witold K. Surewicz, Robert B. Petersen, et al.. (2004). 14 Inherited Prion Diseases. Cold Spring Harbor Monograph Archive. 41. 673–775. 10 indexed citations
17.
Kong, Qingzhong. (2003). The centrosome-centered cell–brain in apoptosis. Medical Hypotheses. 61(1). 126–132. 6 indexed citations
18.
Kong, Qingzhong. (2001). Breaksite batch mapping, a rapid method for assay and identification of DNA breaksites in mammalian cells. Nucleic Acids Research. 29(6). 33e–33. 7 indexed citations
19.
Kong, Qingzhong & Anne E. Simon. (1998). In Situ Hybridization to RNA in Whole Arabidopsis Plants. Humana Press eBooks. 82. 409–415. 1 indexed citations
20.
Lillehei, Kevin O., Yang Liu, & Qingzhong Kong. (1998). Brain Tumor Immunology. Contemporary Neurosurgery. 20(14). 1–7. 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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