Wengang Chen

884 total citations
13 papers, 647 citations indexed

About

Wengang Chen is a scholar working on Molecular Biology, Hematology and Plant Science. According to data from OpenAlex, Wengang Chen has authored 13 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Plant Science. Recurrent topics in Wengang Chen's work include Acute Myeloid Leukemia Research (2 papers), Research in Cotton Cultivation (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Wengang Chen is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Research in Cotton Cultivation (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Wengang Chen collaborates with scholars based in United States, China and Canada. Wengang Chen's co-authors include John E. Shively, Qin Liu, Bruce A. Woda, Kenneth L. Rock, Chin‐Lee Wu, Zhong Jiang, Cuizhen Li, Chung-Cheng Hsieh, Andrew Raubitschek and Jeffrey Y.C. Wong and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and The Lancet Oncology.

In The Last Decade

Wengang Chen

11 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wengang Chen United States 9 388 171 152 125 90 13 647
Mary Ann Perle United States 15 298 0.8× 120 0.7× 38 0.3× 163 1.3× 51 0.6× 42 713
Satoshi Takatsuka Japan 10 488 1.3× 258 1.5× 36 0.2× 264 2.1× 81 0.9× 30 756
Masaya Taniwaki Japan 13 364 0.9× 101 0.6× 36 0.2× 294 2.4× 66 0.7× 49 761
Maria DeSantis Austria 8 283 0.7× 78 0.5× 61 0.4× 244 2.0× 103 1.1× 11 659
M Helle Finland 12 200 0.5× 193 1.1× 76 0.5× 251 2.0× 137 1.5× 30 676
Daniela Intini Italy 14 478 1.2× 70 0.4× 39 0.3× 175 1.4× 50 0.6× 23 696
L. G. Bobrow United Kingdom 9 307 0.8× 294 1.7× 79 0.5× 417 3.3× 69 0.8× 13 708
Viktoria Evdokimova United States 12 282 0.7× 107 0.6× 28 0.2× 250 2.0× 66 0.7× 17 765
Claudio Dansky Ullmann United States 14 275 0.7× 82 0.5× 54 0.4× 398 3.2× 139 1.5× 26 797
Markus Kremer Germany 16 257 0.7× 187 1.1× 25 0.2× 273 2.2× 72 0.8× 22 739

Countries citing papers authored by Wengang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wengang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wengang Chen

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

All Works

13 of 13 papers shown
4.
Li, Yuping, Xiwei Wu, Hanlin Gao, et al.. (2015). Piwi-Interacting RNAs (piRNAs) Are Dysregulated in Renal Cell Carcinoma and Associated with Tumor Metastasis and Cancer-Specific Survival. Molecular Medicine. 21(1). 381–388. 83 indexed citations
5.
Pullarkat, Sheeja T., Vinod Pullarkat, Anand S. Lagoo, et al.. (2013). Characterization of bone marrow mast cells in acute myeloid leukemia with t(8;21) (q22;q22); RUNX1-RUNX1T1. Leukemia Research. 37(11). 1572–1575. 8 indexed citations
6.
Nademanee, Auayporn, et al.. (2013). Implant-Associated Primary Anaplastic Large-Cell Lymphoma With Simultaneous Involvement of Bilateral Breast Capsules. Clinical Breast Cancer. 13(6). 492–495. 43 indexed citations
8.
Lu, Ying, Wengang Chen, Wei Chen, et al.. (2010). C/EBPA gene mutation and C/EBPA promoter hypermethylation in acute myeloid leukemia with normal cytogenetics. American Journal of Hematology. 85(6). 426–430. 22 indexed citations
9.
Yuan, Hongfeng, Zhiqiang Wang, Wengang Chen, et al.. (2009). BCR-ABL Gene Expression Is Required for Its Mutations in a Novel KCL-22 Cell Culture Model for Acquired Resistance of Chronic Myelogenous Leukemia. Journal of Biological Chemistry. 285(7). 5085–5096. 41 indexed citations
10.
Jiang, Zhong, Bruce A. Woda, Kenneth L. Rock, et al.. (2006). Analysis of RNA-binding protein IMP3 to predict metastasis and prognosis of renal-cell carcinoma: a retrospective study. The Lancet Oncology. 7(7). 556–564. 199 indexed citations
11.
Wilczynski, Sharon P., Yuan Yuan Chen, Wengang Chen, et al.. (2005). Expression and mutational analysis of tyrosine kinase receptors c-kit, PDGFRα, and PDGFRβ in ovarian cancers. Human Pathology. 36(3). 242–249. 63 indexed citations
12.
Nagasaka, Tetsuro, et al.. (2000). The Use of Archival Bone Marrow Specimens in Detecting B-Cell Non-Hodgkin's Lymphomas Using Polymerase Chain Reaction Methods. Leukemia & lymphoma. 36(3-4). 347–352. 14 indexed citations
13.
Wu, Anna M., Wengang Chen, Andrew Raubitschek, et al.. (1996). Tumor localization of anti-CEA single-chain Fvs: improved targeting by non-covalent dimers. Immunotechnology. 2(1). 21–36. 170 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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