Sam Q. Sun

2.0k total citations
11 papers, 486 citations indexed

About

Sam Q. Sun is a scholar working on Surgery, Epidemiology and Cancer Research. According to data from OpenAlex, Sam Q. Sun has authored 11 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Epidemiology and 4 papers in Cancer Research. Recurrent topics in Sam Q. Sun's work include Meningioma and schwannoma management (5 papers), Cancer Genomics and Diagnostics (3 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). Sam Q. Sun is often cited by papers focused on Meningioma and schwannoma management (5 papers), Cancer Genomics and Diagnostics (3 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). Sam Q. Sun collaborates with scholars based in United States, China and France. Sam Q. Sun's co-authors include Albert H. Kim, Michael R. Chicoine, Jiayi Huang, Ammar H. Hawasli, Chunyu Cai, Joshua L. Dowling, Ralph G. Dacey, Gregory J. Zipfel, Clifford G. Robinson and Keith M. Rich and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Sam Q. Sun

11 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Q. Sun United States	9	317	236	124	115	112	11	486
Justine N. McCutcheon United States	11	88 0.3×	274 1.2×	45 0.4×	110 1.0×	204 1.8×	16	680
Sara Molatore Italy	12	132 0.4×	76 0.3×	82 0.7×	65 0.6×	226 2.0×	16	537
Danila Serpico Italy	5	58 0.2×	196 0.8×	58 0.5×	81 0.7×	123 1.1×	9	407
Jessica Giorcelli Italy	12	61 0.2×	33 0.1×	131 1.1×	101 0.9×	113 1.0×	16	428
Francesca Leonardi Italy	10	135 0.4×	47 0.2×	31 0.3×	36 0.3×	72 0.6×	17	443
Yuki Katsuya Japan	11	25 0.1×	221 0.9×	41 0.3×	69 0.6×	62 0.6×	35	525
H Sasaki Japan	10	43 0.1×	109 0.5×	30 0.2×	45 0.4×	136 1.2×	19	346
Wolfgang Stiglbauer Austria	7	67 0.2×	33 0.1×	52 0.4×	18 0.2×	141 1.3×	9	390
Carla Pecchioni Italy	10	141 0.4×	67 0.3×	36 0.3×	105 0.9×	107 1.0×	12	384
Tomoki Yokoyama Japan	11	133 0.4×	203 0.9×	64 0.5×	102 0.9×	139 1.2×	19	535

Countries citing papers authored by Sam Q. Sun

Since Specialization

Citations

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

Fields of papers citing papers by Sam Q. Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Q. Sun. 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 Sam Q. Sun. The network helps show where Sam Q. Sun may publish in the future.

Co-authorship network of co-authors of Sam Q. Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Xiang, Zhen, Zhenggang Zhu, Wenhong Sun, et al.. (2019). LncRNAs GIHCG and SPINT1-AS1 Are Crucial Factors for Pan-Cancer Cells Sensitivity to Lapatinib. Frontiers in Genetics. 10. 25–25. 19 indexed citations

2.

Cao, Song, Kristine M. Wylie, Alla Karpova, et al.. (2019). Dynamic host immune response in virus-associated cancers. Communications Biology. 2(1). 109–109. 37 indexed citations

3.

Sun, Sam Q., R. Jay Mashl, Sohini Sengupta, et al.. (2018). Database of evidence for precision oncology portal. Bioinformatics. 34(24). 4315–4317. 14 indexed citations

4.

Gum, Jeffrey L., et al.. (2017). Posterior-Only Vertebral Column Resection for Fused Spondyloptosis. Spine Deformity. 6(1). 84–95. 1 indexed citations

5.

Niu, Beifang, Adam Scott, Sohini Sengupta, et al.. (2016). Protein-structure-guided discovery of functional mutations across 19 cancer types. Nature Genetics. 48(8). 827–837. 87 indexed citations

6.

Shen, Wei Feng, Grace Zhao, Zhonglin Liang, et al.. (2016). Retrospective analysis of circulating tumor DNA of archived plasma samples.. Journal of Clinical Oncology. 34(15_suppl). e23175–e23175. 1 indexed citations

7.

Sun, Sam Q., Chunyu Cai, Vijay M. Ravindra, et al.. (2015). Simpson Grade I-III Resection of Spinal Atypical (World Health Organization Grade II) Meningiomas is Associated With Symptom Resolution and Low Recurrence. Neurosurgery. 76(6). 739–746. 32 indexed citations

8.

Sun, Sam Q., Chunyu Cai, Rory K. J. Murphy, et al.. (2015). Radiation Therapy for Residual or Recurrent Atypical Meningioma. Neurosurgery. 79(1). 23–32. 26 indexed citations

9.

Sun, Sam Q., Ammar H. Hawasli, Jiayi Huang, Michael R. Chicoine, & Albert H. Kim. (2015). An evidence-based treatment algorithm for the management of WHO Grade II and III meningiomas. Neurosurgical FOCUS. 38(3). E3–E3. 97 indexed citations

10.

Sun, Sam Q., Albert H. Kim, Chunyu Cai, et al.. (2014). Management of Atypical Cranial Meningiomas, Part 1. Neurosurgery. 75(4). 347–355. 107 indexed citations

11.

Sun, Sam Q., Chunyu Cai, Rory K. J. Murphy, et al.. (2014). Management of Atypical Cranial Meningiomas, Part 2. Neurosurgery. 75(4). 356–363. 65 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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