Ching‐Hon Pui

587 total citations
11 papers, 288 citations indexed

About

Ching‐Hon Pui is a scholar working on Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ching‐Hon Pui has authored 11 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 3 papers in Pathology and Forensic Medicine and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ching‐Hon Pui's work include Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (3 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Ching‐Hon Pui is often cited by papers focused on Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (3 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Ching‐Hon Pui collaborates with scholars based in United States, Australia and United Kingdom. Ching‐Hon Pui's co-authors include William M. Crist, Raul C. Ribeiro, Shelly Lensing, Jeffrey E. Rubnitz, Bassem I. Razzouk, Stanley Pounds, Wing Leung, Walter T. Hughes, Renee Madden and Patricia M. Flynn and has published in prestigious journals such as Blood, Cancer and The Journal of Pediatrics.

In The Last Decade

Ching‐Hon Pui

9 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Hon Pui United States 7 131 87 80 68 68 11 288
Joachim Köchling Germany 10 82 0.6× 73 0.8× 91 1.1× 38 0.6× 48 0.7× 16 382
Min Ruan China 8 86 0.7× 96 1.1× 185 2.3× 49 0.7× 71 1.0× 66 303
Concepción Rivas Spain 7 204 1.6× 126 1.4× 262 3.3× 67 1.0× 37 0.5× 18 353
Tiziana Coliva Italy 8 143 1.1× 61 0.7× 190 2.4× 40 0.6× 63 0.9× 11 309
Nora Mühlegger Austria 8 289 2.2× 44 0.5× 267 3.3× 113 1.7× 52 0.8× 11 372
Tomoko Yokosuka Japan 10 46 0.4× 51 0.6× 57 0.7× 49 0.7× 66 1.0× 28 271
Lauren Pommert United States 8 56 0.4× 41 0.5× 102 1.3× 33 0.5× 57 0.8× 30 228
Ansu Abu Alex India 9 94 0.7× 150 1.7× 202 2.5× 35 0.5× 68 1.0× 22 334
Hans-Juergen Laws Germany 8 78 0.6× 79 0.9× 47 0.6× 31 0.5× 55 0.8× 13 229
Gaurav Kharya India 10 61 0.5× 41 0.5× 109 1.4× 49 0.7× 32 0.5× 31 266

Countries citing papers authored by Ching‐Hon Pui

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Hon Pui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Hon Pui. 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 Ching‐Hon Pui. The network helps show where Ching‐Hon Pui may publish in the future.

Co-authorship network of co-authors of Ching‐Hon Pui

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

All Works

11 of 11 papers shown
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3.
Paugh, Steven W., Ju Bao, Christy R. Grace, et al.. (2016). MicroRNAs Form Triplexes with Double Stranded DNA at Sequence-Specific Binding Sites; a Eukaryotic Mechanism via which microRNAs Could Directly Alter Gene Expression. PLoS Computational Biology. 12(2). e1004744–e1004744. 60 indexed citations
4.
Sandlund, John T., Victor M. Santana, Melissa M. Hudson, et al.. (2008). Combination of dexamethasone, high‐dose cytarabine, and carboplatin is effective for advanced large‐cell non‐Hodgkin lymphoma of childhood. Cancer. 113(4). 782–790. 3 indexed citations
5.
Madden, Renee, Ching‐Hon Pui, Walter T. Hughes, Patricia M. Flynn, & Wing Leung. (2007). Prophylaxis of Pneumocystis carinii pneumonia with atovaquone in children with leukemia. Cancer. 109(8). 1654–1658. 23 indexed citations
6.
Rubnitz, Jeffrey E., Shelly Lensing, Bassem I. Razzouk, et al.. (2006). Effect of race on outcome of white and black children with acute myeloid leukemia: The St. Jude experience. Pediatric Blood & Cancer. 48(1). 10–15. 35 indexed citations
7.
Onciu, Mihaela, Ellen Schlette, Yinmei Zhou, et al.. (2006). Secondary chromosomal abnormalities predict outcome in pediatric and adult high‐stage Burkitt lymphoma. Cancer. 107(5). 1084–1092. 37 indexed citations
8.
Pui, Ching‐Hon & William E. Evans. (1999). Genetic Abnormalities and Drug Resistance in Acute Lymphoblastic Leukemia. Advances in experimental medicine and biology. 457. 383–389. 6 indexed citations
9.
Pui, Ching‐Hon & William M. Crist. (1994). Biology and treatment of acute lymphoblastic leukemia. The Journal of Pediatrics. 124(4). 491–503. 100 indexed citations
10.
Angel, Carlos A., Christian C. Patrick, Thom E. Lobe, Bhaskar Rao, & Ching‐Hon Pui. (1991). Management of anorectal/perineal infections caused by Pseudomonas aeruginosa in children with malignant diseases. Journal of Pediatric Surgery. 26(4). 487–493. 20 indexed citations
11.
Hutchison, R., et al.. (1988). Non-Hodgkin's lymphoma in children younger than 3 years. Cancer. 62(7). 1371–1373. 4 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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