Benjamin Mow

2.0k total citations · 2 hit papers
17 papers, 1.4k citations indexed

About

Benjamin Mow is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Benjamin Mow has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Benjamin Mow's work include Lung Cancer Research Studies (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Cancer-related Molecular Pathways (3 papers). Benjamin Mow is often cited by papers focused on Lung Cancer Research Studies (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Cancer-related Molecular Pathways (3 papers). Benjamin Mow collaborates with scholars based in Singapore, United States and Australia. Benjamin Mow's co-authors include Per Hall, Yudi Pawitan, Thomas Choudary Putti, Lance D. Miller, Anna V. Ivshina, Joshy George, Edison T. Liu, Vladimir A. Kuznetsov, John E.L. Wong and Jonas Bergh and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Benjamin Mow

17 papers receiving 1.4k citations

Hit Papers

Genetic Reclassification of Histologic Grade Delineates N... 2006 2026 2012 2019 2006 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Mow Singapore 11 673 567 368 302 272 17 1.4k
Christos Vaklavas United States 19 574 0.9× 525 0.9× 114 0.3× 167 0.6× 304 1.1× 55 1.4k
Rosemary L. Balleine Australia 23 791 1.2× 649 1.1× 186 0.5× 291 1.0× 481 1.8× 58 2.0k
Michael D. Pickard United States 18 1.3k 1.9× 1.6k 2.9× 213 0.6× 311 1.0× 224 0.8× 38 2.2k
Osamu Kitahara Japan 14 498 0.7× 1.3k 2.3× 213 0.6× 122 0.4× 368 1.4× 18 2.0k
Hans Bojar Germany 24 580 0.9× 744 1.3× 208 0.6× 184 0.6× 557 2.0× 97 2.0k
Maria Luisa Veronese United States 18 678 1.0× 969 1.7× 262 0.7× 107 0.4× 190 0.7× 35 1.8k
Kathryn O’Reilly United States 7 563 0.8× 1.8k 3.1× 318 0.9× 152 0.5× 273 1.0× 15 2.2k
Eunju Hurh United States 20 210 0.3× 990 1.7× 121 0.3× 171 0.6× 333 1.2× 43 2.2k
Antje Lebrecht Germany 23 610 0.9× 407 0.7× 133 0.4× 215 0.7× 305 1.1× 58 1.4k
Robert E. Martell United States 25 746 1.1× 1.3k 2.3× 373 1.0× 227 0.8× 113 0.4× 97 2.1k

Countries citing papers authored by Benjamin Mow

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Mow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Mow

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

All Works

17 of 17 papers shown
1.
Kwong, Yok‐Lam, Thomas S. Y. Chan, Daryl Tan, et al.. (2017). PD1 blockade with pembrolizumab is highly effective in relapsed or refractory NK/T-cell lymphoma failing l-asparaginase. Blood. 129(17). 2437–2442. 359 indexed citations breakdown →
2.
Mel, Sanjay De, Muhammad Bilal Abid, Tiffany Tang, et al.. (2017). The utility of flow cytometry in differentiating NK/T cell lymphoma from indolent and reactive NK cell proliferations. Cytometry Part B Clinical Cytometry. 94(1). 159–168. 17 indexed citations
3.
Mow, Benjamin, et al.. (2016). RAPID EVOLUTION OF GSC 03144-595, A NEW TRIPLE-MODE RADIALLY PULSATING HIGH-AMPLITUDE δ SCUTI. The Astronomical Journal. 152(1). 17–17. 9 indexed citations
4.
Wong, Yoko, Bee‐Choo Tai, Sin Eng Chia, et al.. (2012). Sun exposure and risk of lymphoid neoplasms in Singapore. Cancer Causes & Control. 23(7). 1055–1064. 15 indexed citations
5.
Hsieh, Wen-Son, Ross A. Soo, Limsoon Wong, et al.. (2009). Pharmacodynamic Effects of Seliciclib, an Orally Administered Cell Cycle Modulator, in Undifferentiated Nasopharyngeal Cancer. Clinical Cancer Research. 15(4). 1435–1442. 62 indexed citations
6.
Koh, Liang‐Piu, Chien-Shing Chen, Bee‐Choo Tai, et al.. (2007). Impact of Postgrafting Immunosuppressive Regimens on Nonrelapse Mortality and Survival after Nonmyeloablative Allogeneic Hematopoietic Stem Cell Transplant Using the Fludarabine and Low-Dose Total-Body Irradiation 200-cGy. Biology of Blood and Marrow Transplantation. 13(7). 790–805. 10 indexed citations
7.
Ivshina, Anna V., Joshy George, O. V. Sen’ko, et al.. (2006). Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer. Cancer Research. 66(21). 10292–10301. 543 indexed citations breakdown →
8.
Soo, Ross A., Jianguo Wu, Amit Aggarwal, et al.. (2006). Celecoxib reduces microvessel density in patients treated with nasopharyngeal carcinoma and induces changes in gene expression. Annals of Oncology. 17(11). 1625–1630. 21 indexed citations
9.
Hsieh, Wen-Son, Judy H. Chiao, Ross A. Soo, et al.. (2005). Pharmacodynamic effects of seliciclib (R-roscovitine, CYC202) in patients with undifferentiated nasopharyngeal carcinoma (NPC) using a window trial design.. Clinical Cancer Research. 11. 2 indexed citations
10.
Chng, Wee Joo, et al.. (2005). Targeted Therapy in Multiple Myeloma. Cancer Control. 12(2). 91–104. 30 indexed citations
11.
Goh, Brian C., et al.. (2005). Seliciclib (R-roscovitine) induces apoptosis in undifferentiated nasopharyngeal cancer (NPC) in vivo and in vitro. Journal of Clinical Oncology. 23(16_suppl). 3145–3145. 4 indexed citations
12.
Chia, K S, Marie Reilly, Chuen Seng Tan, et al.. (2004). Profound changes in breast cancer incidence may reflect changes into a Westernized lifestyle: A comparative population‐based study in Singapore and Sweden. International Journal of Cancer. 113(2). 302–306. 101 indexed citations
13.
Chng, Wee Joo, Benjamin Mow, & Gangadhara Sundar. (2004). Leukaemic infiltration of the choroid. European Journal Of Haematology. 74(1). 91–91. 1 indexed citations
14.
Mow, Benjamin, Joya Chandra, Phyllis A. Svingen, et al.. (2002). Effects of the Bcr/abl kinase inhibitors STI571 and adaphostin (NSC 680410) on chronic myelogenous leukemia cells in vitro. Blood. 99(2). 664–671. 94 indexed citations
15.
Mow, Benjamin, April L. Blajeski, Joya Chandra, & Scott H. Kaufmann. (2001). Apoptosis and the response to anticancer therapy. Current Opinion in Oncology. 13(6). 453–462. 78 indexed citations
16.
Kumar, Shaji, Benjamin Mow, & Scott H. Kaufmann. (1999). Hypercalcemia Complicating Leukemic Transformation of Agnogenic Myeloid Metaplasia-Myelofibrosis. Mayo Clinic Proceedings. 74(12). 1233–1237. 10 indexed citations
17.
Thumboo, Julian, et al.. (1997). Patterns of psoriatic arthritis in Orientals.. PubMed. 24(10). 1949–53. 39 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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