Thu Pham

1.1k total citations
9 papers, 754 citations indexed

About

Thu Pham is a scholar working on Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thu Pham has authored 9 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thu Pham's work include Viral-associated cancers and disorders (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Liver physiology and pathology (2 papers). Thu Pham is often cited by papers focused on Viral-associated cancers and disorders (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Liver physiology and pathology (2 papers). Thu Pham collaborates with scholars based in United States, South Korea and Germany. Thu Pham's co-authors include Svetlana Pack, Mark Raffeld, Evgenia Pak, Zhengping Zhuang, Stefania Pittaluga, Elaine S. Jaffe, Liqiang Xi, Seth M. Steinberg, Theresa Davies‐Hill and Alina Nicolae and has published in prestigious journals such as Nature Genetics, Blood and Human Pathology.

In The Last Decade

Thu Pham

9 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thu Pham United States 9 305 288 281 192 111 9 754
David K. McGregor United States 10 164 0.5× 347 1.2× 264 0.9× 201 1.0× 78 0.7× 15 750
Markus Kremer Germany 16 257 0.8× 273 0.9× 280 1.0× 114 0.6× 85 0.8× 22 739
Chandrika Sreekantaiah United States 18 225 0.7× 228 0.8× 319 1.1× 526 2.7× 103 0.9× 37 964
Michael Neat United Kingdom 18 493 1.6× 259 0.9× 298 1.1× 104 0.5× 92 0.8× 38 1.1k
Shuangping Guo China 16 382 1.3× 188 0.7× 197 0.7× 189 1.0× 34 0.3× 50 855
Eva Rambech Sweden 17 168 0.6× 443 1.5× 500 1.8× 96 0.5× 116 1.0× 27 827
Miguel A. Cruz Spain 11 277 0.9× 250 0.9× 315 1.1× 91 0.5× 54 0.5× 13 724
María Rodríguez‐Pinilla Spain 15 317 1.0× 247 0.9× 162 0.6× 88 0.5× 33 0.3× 27 611
Wook Youn Kim South Korea 16 233 0.8× 403 1.4× 354 1.3× 73 0.4× 51 0.5× 49 925
Maria Scardoni Italy 15 176 0.6× 422 1.5× 253 0.9× 136 0.7× 62 0.6× 21 824

Countries citing papers authored by Thu Pham

Since Specialization
Citations

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

Fields of papers citing papers by Thu Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thu Pham

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

All Works

9 of 9 papers shown
1.
Egan, Caoimhe, Justin Lack, Thu Pham, et al.. (2020). The mutational landscape of histiocytic sarcoma associated with lymphoid malignancy. Modern Pathology. 34(2). 336–347. 30 indexed citations
2.
Egan, Caoimhe, Alina Nicolae, Justin Lack, et al.. (2019). Genomic profiling of primary histiocytic sarcoma reveals two molecular subgroups. Haematologica. 105(4). 951–960. 49 indexed citations
3.
Nicolae, Alina, Stefania Pittaluga, Seth M. Steinberg, et al.. (2015). EBV-positive large B-cell lymphomas in young patients: a nodal lymphoma with evidence for a tolerogenic immune environment. Blood. 126(7). 863–872. 197 indexed citations
4.
Ahmed, Atif, Victor E. Nava, Thu Pham, et al.. (2006). Ewing Sarcoma Family of Tumors in Unusual Sites: Confirmation by RT-PCR. Pediatric and Developmental Pathology. 9(6). 488–495. 23 indexed citations
5.
Dagher, Ramzi, Thu Pham, Lynn Sorbara, et al.. (2001). Molecular Confirmation of Ewing Sarcoma. ˜The œAmerican journal of pediatric hematology/oncology. 23(4). 221–224. 44 indexed citations
6.
Moon, Young‐Wan, Robert J. Weil, Svetlana Pack, et al.. (2000). Missense Mutation of the MET Gene Detected in Human Glioma. Modern Pathology. 13(9). 973–977. 18 indexed citations
7.
Pack, Svetlana, Jayaprakash D. Karkera, Zhengping Zhuang, et al.. (1999). Molecular cytogenetic fingerprinting of esophageal squamous cell carcinoma by comparative genomic hybridization reveals a consistent pattern of chromosomal alterations. Genes Chromosomes and Cancer. 25(2). 160–168. 133 indexed citations
8.
Zhuang, Zhengping, Won-Sang Park, Svetlana Pack, et al.. (1998). Trisomy 7-harbouring non-random duplication of the mutant MET allele in hereditary papillary renal carcinomas. Nature Genetics. 20(1). 66–69. 220 indexed citations
9.
Lininger, Ruth A., Yan-Gao Man, Thu Pham, et al.. (1998). Loh at 16p 13 is a novel chromosomal alteration detected in benign and malignant microdissected papillary neoplasms of the breast. Human Pathology. 29(10). 1113–1118. 40 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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