Jack M. Su

1.0k total citations
17 papers, 504 citations indexed

About

Jack M. Su is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Jack M. Su has authored 17 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jack M. Su's work include Glioma Diagnosis and Treatment (6 papers), Chromatin Remodeling and Cancer (3 papers) and Virus-based gene therapy research (2 papers). Jack M. Su is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Chromatin Remodeling and Cancer (3 papers) and Virus-based gene therapy research (2 papers). Jack M. Su collaborates with scholars based in United States, Singapore and Canada. Jack M. Su's co-authors include Susan M. Blaney, Xiao‐Nan Li, Ching C. Lau, László Perlaky, Adekunle M. Adesina, Litian Yu, Patricia Baxter, Hon-Chiu Eastwood Leung, Xiumei Zhao and Horatiu Voicu and has published in prestigious journals such as Cancer Research, Scientific Reports and Brain Research.

In The Last Decade

Jack M. Su

16 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack M. Su United States	10	227	193	162	105	84	17	504
Richard Kay United Kingdom	9	270 1.2×	90 0.5×	170 1.0×	91 0.9×	73 0.9×	14	557
Beichen Sun Canada	11	264 1.2×	93 0.5×	217 1.3×	244 2.3×	86 1.0×	13	531
Balint Otvos United States	13	284 1.3×	159 0.8×	201 1.2×	21 0.2×	73 0.9×	27	647
Colette Aprhys United States	8	274 1.2×	75 0.4×	351 2.2×	78 0.7×	55 0.7×	9	790
Viveka Nand Yadav United States	13	187 0.8×	178 0.9×	127 0.8×	20 0.2×	107 1.3×	27	538
Jennifer Coleman United States	11	266 1.2×	81 0.4×	405 2.5×	447 4.3×	32 0.4×	19	677
Vidya Chandramohan United States	7	108 0.5×	86 0.4×	165 1.0×	91 0.9×	20 0.2×	17	337
Ling Fu China	10	912 4.0×	189 1.0×	213 1.3×	176 1.7×	79 0.9×	16	1.0k
Michael Ehrhardt United States	13	211 0.9×	96 0.5×	175 1.1×	166 1.6×	19 0.2×	20	702
Juraj Hlavatý Austria	13	425 1.9×	101 0.5×	226 1.4×	392 3.7×	46 0.5×	33	722

Countries citing papers authored by Jack M. Su

Since Specialization

Citations

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

Fields of papers citing papers by Jack M. Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack M. Su

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

All Works

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17 of 17 papers shown

Koh, Hyun Yong, Melissa M. Blessing, Sharon E. Plon, & Jack M. Su. (2025). PTHP-05. Pediatric low-grade diffusely infiltrative tumor with hemispheric and brainstem involvement driven by somatic SMARCB1 loss and copy-neutral LOH on chromosome 22. Neuro-Oncology. 27(Supplement_5). v267–v267.

Su, Jack M., et al.. (2024). Incidental durotomy during tubular microdiscectomy does not preclude same-day discharge. European Spine Journal. 33(11). 4392–4396. 2 indexed citations

Liu, Zhigang, Lin Qi, Yalan Tao, et al.. (2024). Fractionated radiation therapy alters energy metabolism and induces cellular quiescence exit in patient-derived orthotopic xenograft models of high-grade glioma. Translational Oncology. 45. 101988–101988. 1 indexed citations

Bowers, Daniel C., Veena Rajaram, Matthias A. Karajannis, et al.. (2023). Phase II study of everolimus for recurrent or progressive pediatric ependymoma. Neuro-Oncology Advances. 5(1). vdad011–vdad011. 2 indexed citations

Scollon, Sarah, Mohammad K. Eldomery, Jacquelyn Reuther, et al.. (2022). Clinical and molecular features of pediatric cancer patients with Lynch syndrome. Pediatric Blood & Cancer. 69(11). e29859–e29859. 10 indexed citations

Elghetany, M. Tarek, Karthik Sekar, Jack M. Su, et al.. (2021). Maximizing the potential of aggressive mouse tumor models in preclinical drug testing. Scientific Reports. 11(1). 11580–11580. 3 indexed citations

Sesen, Julie, Sanda Alexandrescu, David Zurakowski, et al.. (2021). Neogenin is highly expressed in diffuse intrinsic pontine glioma and influences tumor invasion. Brain Research. 1762. 147348–147348. 4 indexed citations

Su, Jack M., Jeffrey C. Murray, Rene McNall‐Knapp, et al.. (2020). A phase 2 study of valproic acid and radiation, followed by maintenance valproic acid and bevacizumab in children with newly diagnosed diffuse intrinsic pontine glioma or high‐grade glioma. Pediatric Blood & Cancer. 67(6). e28283–e28283. 48 indexed citations

Bavle, Abhishek, Vidya Mehta, Ronald A. Rauch, et al.. (2018). Spontaneous Regression of Atypical Teratoid Rhabdoid Tumor Without Therapy in a Patient With Uncommon Regional Inactivation of SMARCB1 (hSNF5/INI1). Pediatric and Developmental Pathology. 22(2). 161–165. 3 indexed citations

10.

Liu, Zhigang, Xiumei Zhao, Yue Wang, et al.. (2014). A patient tumor-derived orthotopic xenograft mouse model replicating the group 3 supratentorial primitive neuroectodermal tumor in children. Neuro-Oncology. 16(6). 787–799. 11 indexed citations

11.

Liu, Zhigang, Xiumei Zhao, Hua Mao, et al.. (2013). Intravenous injection of oncolytic picornavirus SVV-001 prolongs animal survival in a panel of primary tumor–based orthotopic xenograft mouse models of pediatric glioma. Neuro-Oncology. 15(9). 1173–1185. 72 indexed citations

12.

Zhao, Xiumei, Zhigang Liu, Litian Yu, et al.. (2012). Global gene expression profiling confirms the molecular fidelity of primary tumor-based orthotopic xenograft mouse models of medulloblastoma. Neuro-Oncology. 14(5). 574–583. 109 indexed citations

13.

Yu, Lei, Patricia Baxter, Horatiu Voicu, et al.. (2010). A clinically relevant orthotopic xenograft model of ependymoma that maintains the genomic signature of the primary tumor and preserves cancer stem cells in vivo. Neuro-Oncology. 12(6). 580–594. 63 indexed citations

14.

Yu, Litian, Patricia Baxter, Lalita Wadhwa, et al.. (2010). A single intravenous injection of oncolytic picornavirus SVV-001 eliminates medulloblastomas in primary tumor-based orthotopic xenograft mouse models. Neuro-Oncology. 13(1). 14–27. 66 indexed citations

15.

Li, Xiaoxin, Qingyao Shu, Jack M. Su, et al.. (2007). Differential expression of survivin splice isoforms in medulloblastomas. Neuropathology and Applied Neurobiology. 33(1). 67–76. 15 indexed citations

16.

Wong, Kwong‐Kwok, Yvonne T.M. Tsang, László Perlaky, et al.. (2005). Expression Analysis of Juvenile Pilocytic Astrocytomas by Oligonucleotide Microarray Reveals Two Potential Subgroups. Cancer Research. 65(1). 76–84. 44 indexed citations

17.

Li, Xiao‐Nan, Suhag Parikh, Qin Shu, et al.. (2004). Phenylbutyrate and Phenylacetate Induce Differentiation and Inhibit Proliferation of Human Medulloblastoma Cells. Clinical Cancer Research. 10(3). 1150–1159. 51 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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