Su S. Chen

1.4k total citations
18 papers, 1.0k citations indexed

About

Su S. Chen is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Su S. Chen has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Genetics and 6 papers in Oncology. Recurrent topics in Su S. Chen's work include Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Su S. Chen is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Su S. Chen collaborates with scholars based in United States. Su S. Chen's co-authors include L. Jeffrey Medeiros, Scott Kopetz, Junichi Shindoh, Thomas A. Aloia, Dipen M. Maru, Giuseppe Zimmitti, Jean‐Nicolas Vauthey, Steven A. Curley, Andréas Andreou and Jeffrey L. Jorgensen and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Annals of Surgery.

In The Last Decade

Su S. Chen

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su S. Chen United States 13 623 405 248 195 162 18 1.0k
Junning Cao China 16 553 0.9× 213 0.5× 141 0.6× 43 0.2× 136 0.8× 90 907
Sonam Prakash United States 13 214 0.3× 195 0.5× 57 0.2× 147 0.8× 133 0.8× 28 833
Daniel Rauch Switzerland 20 711 1.1× 385 1.0× 156 0.6× 34 0.2× 149 0.9× 53 1.1k
Anna D. Panani Greece 18 217 0.3× 197 0.5× 85 0.3× 257 1.3× 375 2.3× 66 1.1k
Kathrin Katenkamp Germany 14 351 0.6× 351 0.9× 273 1.1× 64 0.3× 100 0.6× 26 906
Eric Raefsky United States 14 396 0.6× 244 0.6× 30 0.1× 195 1.0× 158 1.0× 46 835
Jerrold B. Teitcher United States 18 374 0.6× 353 0.9× 89 0.4× 46 0.2× 313 1.9× 22 1.3k
Masahiro Yokoyama Japan 15 461 0.7× 124 0.3× 128 0.5× 79 0.4× 116 0.7× 61 1.0k
Myung Hee Chang South Korea 17 385 0.6× 246 0.6× 27 0.1× 97 0.5× 118 0.7× 50 718
Anna Novarino Italy 19 577 0.9× 111 0.3× 42 0.2× 197 1.0× 294 1.8× 43 1.1k

Countries citing papers authored by Su S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Su S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su S. Chen. 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 Su S. Chen. The network helps show where Su S. Chen may publish in the future.

Co-authorship network of co-authors of Su S. Chen

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

All Works

18 of 18 papers shown
1.
Welsh, James W., Ritsuko Komaki, Arya Amini, et al.. (2013). Phase II Trial of Erlotinib Plus Concurrent Whole-Brain Radiation Therapy for Patients With Brain Metastases From Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 31(7). 895–902. 314 indexed citations
2.
Vauthey, Jean‐Nicolas, Giuseppe Zimmitti, Scott Kopetz, et al.. (2013). RAS Mutation Status Predicts Survival and Patterns of Recurrence in Patients Undergoing Hepatectomy for Colorectal Liver Metastases. Annals of Surgery. 258(4). 619–627. 266 indexed citations
3.
Jain, Preetesh & Su S. Chen. (2013). Cytoplasmic globules in erythroid blasts and CLL. Blood. 121(17). 3305–3305.
4.
Wang, Sa A., Lloyd Hutchinson, Guilin Tang, et al.. (2013). Systemic mastocytosis with associated clonal hematological non-mast cell lineage disease: Clinical significance and comparison of chomosomal abnormalities in SM and AHNMD components. American Journal of Hematology. n/a–n/a. 6 indexed citations
5.
Wheler, Jennifer J., Gerald S. Falchook, Apostolia M. Tsimberidou, et al.. (2013). Revisiting Clinical Trials Using EGFR Inhibitor-Based Regimens in Patients with Advanced Non-Small Cell Lung Cancer: A Retrospective Analysis of an MD Anderson Cancer Center Phase I Population. Oncotarget. 4(5). 772–784. 15 indexed citations
6.
7.
Hoehn, Daniela, L. Jeffrey Medeiros, Su S. Chen, et al.. (2012). CD117 Expression Is a Sensitive but Nonspecific Predictor of FLT3 Mutation in T Acute Lymphoblastic Leukemia and T/Myeloid Acute Leukemia. American Journal of Clinical Pathology. 137(2). 213–219. 40 indexed citations
8.
Wang, Sa A., Lloyd Hutchinson, Guilin Tang, et al.. (2012). Systemic mastocytosis with associated clonal hematological non‐mast cell lineage disease: Clinical significance and comparison of chomosomal abnormalities in SM and AHNMD components. American Journal of Hematology. 88(3). 219–224. 55 indexed citations
9.
Jorgensen, Jeffrey L. & Su S. Chen. (2011). Monitoring of Minimal Residual Disease in Acute Myeloid Leukemia: Methods and Best Applications. Clinical Lymphoma Myeloma & Leukemia. 11. S49–S53. 18 indexed citations
10.
Yin, C. Cameron, et al.. (2011). Chromosome 20q Deletion. American Journal of Clinical Pathology. 135(3). 391–397. 13 indexed citations
11.
Kanagal‐Shamanna, Rashmi, Carlos E. Bueso‐Ramos, Su S. Chen, et al.. (2011). Donor-derived isolated del(20q) after hematopoietic stem cell transplantation: report of two cases and review of the literature. Journal of Hematopathology. 6(1). 25–32. 3 indexed citations
12.
Vigil, Carlos E., Sa A. Wang, Jörge E. Cortes, et al.. (2011). Dasatinib-Responsive Mast Cell Neoplasms As Initial Presentation of Chronic Myelogenous Leukemia in Blast Phase. Journal of Clinical Oncology. 29(17). e514–e516. 7 indexed citations
13.
Lennon, Patrick A., Srđan Verstovšek, Bedia A. Barkoh, et al.. (2010). Distinct patterns of cytogenetic and clinical progression in chronic myeloproliferative neoplasms with or without JAK2 or MPL mutations. Cancer Genetics and Cytogenetics. 197(1). 1–7. 14 indexed citations
14.
Konoplev, Sergej, Xuemei Wang, Wei Cui, et al.. (2010). De novo acute myeloid leukemia with inv(3)(q21q26.2) or t(3;3)(q21;q26.2): a clinicopathologic and cytogenetic study of an entity recently added to the WHO classification. Modern Pathology. 24(3). 384–389. 33 indexed citations
15.
Zuo, Zhuang, Dan Jones, Hui Yao, et al.. (2010). A pathway-based gene signature correlates with therapeutic response in adult patients with Philadelphia chromosome-positive acute lymphoblastic leukemia. Modern Pathology. 23(11). 1524–1534. 5 indexed citations
16.
17.
Zuo, Zhuang, Su S. Chen, Pranil Chandra, et al.. (2009). Application of COLD-PCR for improved detection of KRAS mutations in clinical samples. Modern Pathology. 22(8). 1023–1031. 100 indexed citations
18.
Gustafson, Steven A., Pei Lin, Su S. Chen, et al.. (2009). Therapy-Related Acute Myeloid Leukemia With t(8;21) (q22;q22) Shares Many Features With De Novo Acute Myeloid Leukemia With t(8;21)(q22;q22) but Does Not Have a Favorable Outcome. American Journal of Clinical Pathology. 131(5). 647–655. 45 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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