Jinjun Dang

2.3k total citations
17 papers, 488 citations indexed

About

Jinjun Dang is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jinjun Dang has authored 17 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jinjun Dang's work include Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Jinjun Dang is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Jinjun Dang collaborates with scholars based in United States, Australia and Canada. Jinjun Dang's co-authors include William F. Doe, Yao Wang, Lorin K. Johnson, Christine M. Eischen, Lilia Stepanova, Mei-Ling Kuo, Martine F. Roussel, Charles J. Sherr, Yao Wang and Xiaoming Liang and has published in prestigious journals such as Nature Communications, Blood and Molecular and Cellular Biology.

In The Last Decade

Jinjun Dang

16 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinjun Dang United States 12 277 168 147 124 74 17 488
Sheryl M. Gough United States 12 477 1.7× 62 0.4× 90 0.6× 231 1.9× 53 0.7× 23 658
Leonor M. Sarmento Portugal 9 293 1.1× 51 0.3× 113 0.8× 72 0.6× 84 1.1× 12 428
Brian Freie United States 15 588 2.1× 155 0.9× 140 1.0× 104 0.8× 26 0.4× 23 782
Agnieszka A. Wendorff United States 6 446 1.6× 114 0.7× 99 0.7× 179 1.4× 139 1.9× 8 642
Mercedes Hernández del Cerro Spain 9 229 0.8× 169 1.0× 134 0.9× 94 0.8× 21 0.3× 9 462
Helicia Paz United States 10 308 1.1× 79 0.5× 117 0.8× 41 0.3× 27 0.4× 12 463
Kaat Durinck Belgium 13 335 1.2× 178 1.1× 93 0.6× 98 0.8× 111 1.5× 26 548
Andrew Volk United States 11 387 1.4× 84 0.5× 58 0.4× 165 1.3× 29 0.4× 25 547
Bryan Zimdahl United States 8 359 1.3× 91 0.5× 220 1.5× 130 1.0× 18 0.2× 10 600
Tim Pieters Belgium 12 421 1.5× 49 0.3× 78 0.5× 91 0.7× 80 1.1× 26 563

Countries citing papers authored by Jinjun Dang

Since Specialization
Citations

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

Fields of papers citing papers by Jinjun Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjun Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinjun Dang. A scholar is included among the top collaborators of Jinjun Dang 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 Jinjun Dang. Jinjun Dang 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.
Dang, Jinjun, et al.. (2024). CBFA2T3-GLIS2 mediates transcriptional regulation of developmental pathways through a gene regulatory network. Nature Communications. 15(1). 8747–8747.
2.
Smith, Stephen B., Beng Fuh, Arun Rangaswami, et al.. (2021). Therapy‐related myeloid neoplasms resembling juvenile myelomonocytic leukemia: a case series and review of the literature. Pediatric Blood & Cancer. 69(5). e29499–e29499. 1 indexed citations
3.
Dang, Jinjun, Jing Ma, Yuanyuan Wang, et al.. (2020). Genomic Analysis of Congenital Myeloid Sarcoma Identifies Significant Bone Marrow Involvement in the Absence of Morphologic Blasts. Blood. 136(Supplement 1). 41–41. 1 indexed citations
4.
Tian, Liqing, Ying Shao, Stephanie Nance, et al.. (2019). Long-read sequencing unveils IGH-DUX4 translocation into the silenced IGH allele in B-cell acute lymphoblastic leukemia. Nature Communications. 10(1). 2789–2789. 17 indexed citations
5.
Drenberg, Christina D., Anang A. Shelat, Jinjun Dang, et al.. (2019). A high-throughput screen indicates gemcitabine and JAK inhibitors may be useful for treating pediatric AML. Nature Communications. 10(1). 2189–2189. 20 indexed citations
6.
Janke, Laura J., Charles G. Mullighan, Jinjun Dang, & Jerold E. Rehg. (2019). Immunophenotyping of Murine Precursor B-Cell Leukemia/Lymphoma: A Comparison of Immunohistochemistry and Flow Cytometry. Veterinary Pathology. 56(6). 950–958. 1 indexed citations
7.
Dang, Jinjun, Lei Wei, Jeroen de Ridder, et al.. (2015). PAX5 is a tumor suppressor in mouse mutagenesis models of acute lymphoblastic leukemia. Blood. 125(23). 3609–3617. 53 indexed citations
8.
Dang, Jinjun, Charles G. Mullighan, Letha A. Phillips, Perdeep K. Mehta, & James R. Downing. (2008). Retroviral and Chemical Mutagenesis Identifies Pax5 as a Tumor Suppressor in B-Progenitor Acute Lymphoblastic Leukemia. Blood. 112(11). 1789–1789. 10 indexed citations
9.
Dong, Zhifeng, et al.. (2005). Antagonistic Effects of Grg6 and Groucho/TLE on the Transcription Repression Activity of Brain Factor 1/FoxG1 and Cortical Neuron Differentiation. Molecular and Cellular Biology. 25(24). 10916–10929. 37 indexed citations
10.
Dang, Jinjun, Mei-Ling Kuo, Christine M. Eischen, et al.. (2002). The RING domain of Mdm2 can inhibit cell proliferation.. PubMed. 62(4). 1222–30. 74 indexed citations
11.
Dang, Jinjun, Takeshi Inukai, Hidemitsu Kurosawa, et al.. (2001). The E2A-HLF Oncoprotein ActivatesGroucho-Related Genes and SuppressesRunx1. Molecular and Cellular Biology. 21(17). 5935–5945. 35 indexed citations
12.
Wang, Yao, Jinjun Dang, Heng Wang, et al.. (2000). Identification of a novel nuclear factor‐kappaB sequence involved in expression of urokinase‐type plasminogen activator receptor. European Journal of Biochemistry. 267(11). 3248–3254. 61 indexed citations
13.
Dang, Jinjun, Douglas Boyd, Heng Wang, et al.. (1999). A region between −141 and −61 bp containing a proximal AP‐1 is essential for constitutive expression of urokinase‐type plasminogen activator receptor. European Journal of Biochemistry. 264(1). 92–99. 37 indexed citations
14.
Wang, Yao, et al.. (1995). Structure of the Human Urokinase Receptor Gene and Its Similarity to CD59 and the Ly‐6 Family. European Journal of Biochemistry. 227(1-2). 116–122. 67 indexed citations
15.
Dang, Jinjun, Yao Wang, & William F. Doe. (1995). Sodium butyrate inhibits expression of urokinase and its receptor mRNAs at both transcription and post‐transcription levels in colon cancer cells. FEBS Letters. 359(2-3). 147–150. 19 indexed citations
16.
Wang, Yao, Jinjun Dang, Xiaoming Liang, & William F. Doe. (1995). Amiloride modulates urokinase gene expression at both transcription and post-transcription levels in human colon cancer cells. Clinical & Experimental Metastasis. 13(3). 196–202. 20 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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