Dai-Chen Wu

1.3k total citations · 2 hit papers
6 papers, 992 citations indexed

About

Dai-Chen Wu is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Dai-Chen Wu has authored 6 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Genetics. Recurrent topics in Dai-Chen Wu's work include Pancreatic and Hepatic Oncology Research (2 papers), Acute Myeloid Leukemia Research (1 paper) and RNA modifications and cancer (1 paper). Dai-Chen Wu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Acute Myeloid Leukemia Research (1 paper) and RNA modifications and cancer (1 paper). Dai-Chen Wu collaborates with scholars based in United States, Taiwan and India. Dai-Chen Wu's co-authors include Phillip D. Jones, X. Shawn Liu, James Chen, Huaijun Wang, Krishna S. Ghanta, John J. Lee, Yves Boucher, Sally Kawano, Rushika M. Perera and Shiwei Han and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Dai-Chen Wu

6 papers receiving 974 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stromal response to Hedgehog signaling restrains pancreatic cancer progression

2014 386 citations John J. Lee, Rushika M. Perera et al. Proceedings of the National Academy of Sciences profile →
PD-L1 expression by dendritic cells is a key regulator of T-cell immunity in cancer

2020 316 citations Soyoung Oh, Dai-Chen Wu et al. Nature Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dai-Chen Wu United States	5	562	502	374	120	67	6	992
Jens Wanzeck United States	6	518 0.9×	396 0.8×	370 1.0×	139 1.2×	89 1.3×	7	1.0k
Hafsa Munir United Kingdom	11	445 0.8×	313 0.6×	399 1.1×	132 1.1×	99 1.5×	16	939
Hocine R. Hocine France	7	468 0.8×	307 0.6×	320 0.9×	152 1.3×	73 1.1×	8	740
Dirk Zboralski United States	13	503 0.9×	332 0.7×	218 0.6×	119 1.0×	112 1.7×	22	937
Petra Sergent United States	8	750 1.3×	310 0.6×	462 1.2×	182 1.5×	22 0.3×	10	1.0k
Mikael N.E. Sommarin Sweden	7	418 0.7×	386 0.8×	198 0.5×	207 1.7×	42 0.6×	14	762
Panqi Fang China	7	421 0.7×	415 0.8×	224 0.6×	312 2.6×	53 0.8×	7	811
Jeffrey Hung United States	3	804 1.4×	562 1.1×	230 0.6×	275 2.3×	65 1.0×	5	1.1k
John P. Eggers United States	4	401 0.7×	371 0.7×	136 0.4×	99 0.8×	73 1.1×	5	641
J. Jason Morton United States	14	316 0.6×	281 0.6×	144 0.4×	136 1.1×	44 0.7×	19	621

Countries citing papers authored by Dai-Chen Wu

Since Specialization

Citations

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

Fields of papers citing papers by Dai-Chen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai-Chen Wu

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

6 of 6 papers shown

1.

Oh, Soyoung, Dai-Chen Wu, Jeanne Cheung, et al.. (2020). PD-L1 expression by dendritic cells is a key regulator of T-cell immunity in cancer. Nature Cancer. 1(7). 681–691. 316 indexed citations breakdown →

2.

Lee, John J., Rushika M. Perera, Huaijun Wang, et al.. (2014). Stromal response to Hedgehog signaling restrains pancreatic cancer progression. Proceedings of the National Academy of Sciences. 111(30). E3091–100. 386 indexed citations breakdown →

3.

Trompouki, Eirini, Teresa V. Bowman, Lee N. Lawton, et al.. (2011). Lineage Regulators Direct BMP and Wnt Pathways to Cell-Specific Programs during Differentiation and Regeneration. Cell. 147(3). 577–589. 231 indexed citations

4.

Bowman, Teresa V., Eirini Trompouki, Lee N. Lawton, et al.. (2011). Lineage Regulators Direct BMP and Wnt Pathways to Cell-Specific Programs During Differentiation and Regeneration,. Blood. 118(21). 3387–3387. 4 indexed citations

5.

Yeh, Shiou‐Hwei, Dai-Chen Wu, Ching-Yi Tsai, et al.. (2006). Genetic characterization of fas-associated phosphatase-1 as a putative tumor suppressor gene on chromosome 4q21.3 in hepatocellular carcinoma.. Clinical Cancer Research. 12(4). 1097–1108. 47 indexed citations

6.

Yeh, Shiou‐Hwei, Ming‐Wei Lin, Shu‐Fen Lu, et al.. (2004). Allelic loss of chromosome 4q21?23 associates with hepatitis B virus-related hepatocarcinogenesis and elevated alpha-fetoprotein. Hepatology. 40(4). 847–854. 8 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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