Wenhsiang Wen

459 total citations
8 papers, 381 citations indexed

About

Wenhsiang Wen is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Wenhsiang Wen has authored 8 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Wenhsiang Wen's work include Cancer-related Molecular Pathways (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Wenhsiang Wen is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Wenhsiang Wen collaborates with scholars based in United States, Bosnia and Herzegovina and United Kingdom. Wenhsiang Wen's co-authors include Michael F. Press, Zoran Gatalica, Jiří Lukáš, Denice Tsao‐Wei, Wangjuh Chen, Sherri Z. Millis, Steven A. Rosenberg, Dai Gao, Brian Andrew Van Tine and Sujana Movva and has published in prestigious journals such as Journal of Clinical Oncology, Oncotarget and Journal of Molecular Diagnostics.

In The Last Decade

Wenhsiang Wen

8 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenhsiang Wen United States	5	227	213	115	62	44	8	381
Diana Rotzer Switzerland	8	167 0.7×	236 1.1×	104 0.9×	60 1.0×	45 1.0×	8	502
Grażyna Kobierska‐Gulida Poland	9	198 0.9×	205 1.0×	189 1.6×	117 1.9×	37 0.8×	19	404
G. Landberg Sweden	8	115 0.5×	250 1.2×	87 0.8×	66 1.1×	23 0.5×	11	423
Toshitaka Tsuda Japan	10	180 0.8×	156 0.7×	115 1.0×	53 0.9×	60 1.4×	11	351
Brigitte Poirot France	9	164 0.7×	171 0.8×	91 0.8×	120 1.9×	35 0.8×	12	375
Masayuki Ohno Japan	11	256 1.1×	264 1.2×	47 0.4×	74 1.2×	49 1.1×	18	508
Keidai Ishikawa Japan	10	152 0.7×	246 1.2×	157 1.4×	103 1.7×	25 0.6×	23	426
Clarence Eng United States	8	130 0.6×	131 0.6×	79 0.7×	158 2.5×	55 1.3×	16	342
Sebastian Uhrig Germany	7	115 0.5×	162 0.8×	65 0.6×	101 1.6×	63 1.4×	17	360
Theresia Wilbertz Switzerland	6	155 0.7×	310 1.5×	229 2.0×	130 2.1×	28 0.6×	8	466

Countries citing papers authored by Wenhsiang Wen

Since Specialization

Citations

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

Fields of papers citing papers by Wenhsiang Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhsiang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Wenhsiang Wen. A scholar is included among the top collaborators of Wenhsiang Wen 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 Wenhsiang Wen. Wenhsiang Wen 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:

8 of 8 papers shown

1.

Wen, Wenhsiang, Wangjuh Chen, Ryan Bender, et al.. (2015). Mutations in the Kinase Domain of the HER2/ERBB2 Gene Identified in a Wide Variety of Human Cancers. Journal of Molecular Diagnostics. 17(5). 487–495. 53 indexed citations

2.

Movva, Sujana, Wenhsiang Wen, Wangjuh Chen, et al.. (2015). Multi-platform profiling of over 2000 sarcomas: Identification of biomarkers and novel therapeutic targets. Oncotarget. 6(14). 12234–12247. 104 indexed citations

3.

Movva, Sujana, Wenhsiang Wen, Wangjuh Chen, et al.. (2014). Predictive biomarker profiling of > 1,900 sarcomas: Identification of potential novel treatment modalities.. Journal of Clinical Oncology. 32(15_suppl). 10509–10509. 3 indexed citations

4.

Dotlić, Snježana, Zoran Gatalica, Wenhsiang Wen, et al.. (2013). Extraskeletal Myxoid Chondrosarcoma of the Vulva With PLAG1 Gene Activation. Applied immunohistochemistry & molecular morphology. 22(7). 537–542. 8 indexed citations

5.

Gatalica, Zoran, Sherri Z. Millis, Gargi D. Basu, et al.. (2013). Integrating molecular profiling into cancer treatment decision making: Experience with over 35,000 cases.. Journal of Clinical Oncology. 31(15_suppl). 11001–11001. 2 indexed citations

6.

Wen, Wenhsiang & Michael F. Press. (2004). Identification of <I>TP53</I> Mutations in Human Cancers Using Oligonucleotide Microarrays. Humana Press eBooks. 97. 323–336. 4 indexed citations

7.

Lukáš, Jiří, et al.. (2001). Alternative and aberrant messenger RNA splicing of the mdm2 oncogene in invasive breast cancer.. PubMed. 61(7). 3212–9. 123 indexed citations

8.

Wen, Wenhsiang, et al.. (2000). Comparison of TP53 mutations identified by oligonucleotide microarray and conventional DNA sequence analysis.. PubMed. 60(10). 2716–22. 84 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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