Dajun Sang

999 total citations
9 papers, 559 citations indexed

About

Dajun Sang is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dajun Sang has authored 9 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dajun Sang's work include Plant Molecular Biology Research (4 papers), Plant Parasitism and Resistance (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). Dajun Sang is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant Parasitism and Resistance (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). Dajun Sang collaborates with scholars based in United States, China and Germany. Dajun Sang's co-authors include Liam J. Holt, Sudarshan Pinglay, Kristopher J. Kennedy, Ivan V. Surovtsev, Benjamin D. Engel, Miroslava Schaffer, J Ignacio Gutierrez, Jürgen M. Plitzko, Jean K. Chung and Jay T. Groves and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Dajun Sang

8 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dajun Sang United States	6	361	196	105	56	44	9	559
Victoria E. Deneke United States	12	330 0.9×	67 0.3×	173 1.6×	40 0.7×	17 0.4×	12	480
Eduardo Flores United States	6	380 1.1×	84 0.4×	122 1.2×	13 0.2×	20 0.5×	10	509
Young-Jae Eu South Korea	12	418 1.2×	208 1.1×	98 0.9×	137 2.4×	64 1.5×	18	648
Shipeng Shao China	11	500 1.4×	61 0.3×	95 0.9×	48 0.9×	11 0.3×	32	609
Julia Mergner Germany	12	387 1.1×	163 0.8×	45 0.4×	28 0.5×	23 0.5×	24	599
M.K. Swan United States	14	592 1.6×	138 0.7×	172 1.6×	102 1.8×	26 0.6×	19	866
Iris K. Jarsch Germany	7	422 1.2×	386 2.0×	174 1.7×	15 0.3×	7 0.2×	8	725
Cláudia Campos Portugal	9	229 0.6×	179 0.9×	59 0.6×	16 0.3×	21 0.5×	13	494
Arnon Henn Israel	16	664 1.8×	87 0.4×	213 2.0×	61 1.1×	8 0.2×	31	954
Thorsten Lenser Germany	6	373 1.0×	56 0.3×	34 0.3×	48 0.9×	17 0.4×	13	460

Countries citing papers authored by Dajun Sang

Since Specialization

Citations

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

Fields of papers citing papers by Dajun Sang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dajun Sang

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

All Works

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9 of 9 papers shown

1.

Sang, Dajun, Peng Li, Songtao Gui, et al.. (2025). LAZY5 acts in an LAZY1‐independent pathway to regulate rice tiller angle. Plant Biotechnology Journal. 23(10). 4568–4579.

2.

Sang, Dajun, et al.. (2022). Condensed-phase signaling can expand kinase specificity and respond to macromolecular crowding. Molecular Cell. 82(19). 3693–3711.e10. 57 indexed citations

3.

Zhang, Han, et al.. (2022). PROG1 acts upstream of LAZY1 to regulate rice tiller angle as a repressor. The Crop Journal. 11(2). 386–393. 11 indexed citations

4.

Shu, Tong, Dajun Sang, Sarah Tsao, et al.. (2021). Liquid-Liquid Phase Separation is Influenced by the Active, Crowded Cytoplasm. Biophysical Journal. 120(3). 31a–32a. 2 indexed citations

5.

Sang, Dajun, Sudarshan Pinglay, Rafal Wiewiora, et al.. (2019). Ancestral reconstruction reveals mechanisms of ERK regulatory evolution. eLife. 8. 18 indexed citations

6.

Delarue, Morgan, Gregory Brittingham, Stefan Pfeffer, et al.. (2018). mTORC1 Controls Phase Separation and the Biophysical Properties of the Cytoplasm by Tuning Crowding. Cell. 174(2). 338–349.e20. 299 indexed citations

7.

Niu, Lifang, Chunxiang Fu, Yingying Meng, et al.. (2017). Overexpression of the WOX gene STENOFOLIA improves biomass yield and sugar release in transgenic grasses and display altered cytokinin homeostasis. PLoS Genetics. 13(3). e1006649–e1006649. 44 indexed citations

8.

Sang, Dajun, Dongqin Chen, Guifu Liu, et al.. (2014). Strigolactones regulate rice tiller angle by attenuating shoot gravitropism through inhibiting auxin biosynthesis. Proceedings of the National Academy of Sciences. 111(30). 11199–11204. 124 indexed citations

9.

Sang, Dajun, et al.. (2006). The Molecular Identification of Powerdery Mildew Resistance Genes in the Cultivars in Henan Province and Application of Molecular Marker-assisted Breeding. Acta Agriculturae Boreali-Sinica. 4 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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