Dong‐Jun Bae

425 total citations · 1 hit paper
13 papers, 251 citations indexed

About

Dong‐Jun Bae is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Dong‐Jun Bae has authored 13 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Dong‐Jun Bae's work include Pancreatic and Hepatic Oncology Research (3 papers), Autophagy in Disease and Therapy (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Dong‐Jun Bae is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Autophagy in Disease and Therapy (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Dong‐Jun Bae collaborates with scholars based in South Korea, United States and United Kingdom. Dong‐Jun Bae's co-authors include Sang‐Yeob Kim, Doo Sin Jo, Dong‐Hyung Cho, So Jung Park, Sook Ryun Park, Joon Seon Song, Eunju Do, Gihyeon Kim, Hansoo Park and Yun-Jae Kim and has published in prestigious journals such as Journal of Clinical Oncology, Biomaterials and Advanced Functional Materials.

In The Last Decade

Dong‐Jun Bae

13 papers receiving 250 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.

Fecal microbiota transplantation improves anti-PD-1 inhibitor efficacy in unresectable or metastatic solid cancers refractory to anti-PD-1 inhibitor

2024 81 citations Yun-Jae Kim, Gihyeon Kim et al. Cell Host & Microbe profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong‐Jun Bae South Korea	8	167	48	46	40	35	13	251
Emeline Cros‐Perrial France	13	211 1.3×	75 1.6×	44 1.0×	27 0.7×	27 0.8×	33	371
Jihui Du China	9	180 1.1×	40 0.8×	27 0.6×	55 1.4×	24 0.7×	17	311
Idris O. Raji United States	11	331 2.0×	37 0.8×	28 0.6×	47 1.2×	37 1.1×	17	482
Yu‐Wang Chang Taiwan	6	202 1.2×	34 0.7×	21 0.5×	24 0.6×	21 0.6×	10	309
Enming Xing United States	9	140 0.8×	43 0.9×	24 0.5×	23 0.6×	10 0.3×	19	272
Martina Tholen United States	12	160 1.0×	68 1.4×	24 0.5×	106 2.6×	31 0.9×	13	347
Zarema Albakova Russia	9	313 1.9×	30 0.6×	28 0.6×	38 0.9×	83 2.4×	11	399
Qin Zhou China	13	224 1.3×	99 2.1×	36 0.8×	55 1.4×	90 2.6×	36	475
Byung Ju Kim Canada	10	198 1.2×	36 0.8×	14 0.3×	24 0.6×	19 0.5×	14	326
Hao Wei China	10	156 0.9×	32 0.7×	19 0.4×	14 0.3×	91 2.6×	15	327

Countries citing papers authored by Dong‐Jun Bae

Since Specialization

Citations

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

Fields of papers citing papers by Dong‐Jun Bae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Jun Bae. 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 Dong‐Jun Bae. The network helps show where Dong‐Jun Bae may publish in the future.

Co-authorship network of co-authors of Dong‐Jun Bae

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

All Works

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13 of 13 papers shown

Hasan, Md. Mahedi, Seung Hyun Kim, Riajul Wahab, et al.. (2025). Stromal fibrin shapes immune infiltration landscape of pancreatic ductal adenocarcinoma. Biomaterials. 320. 123280–123280. 1 indexed citations

Jeong, Ji Hye, Sang‐Yeob Kim, Dong‐Jun Bae, et al.. (2025). Spatial distribution and activation changes of T cells in pancreatic tumors according to KRAS mutation subtype. Cancer Letters. 618. 217641–217641. 4 indexed citations

Kim, Yun-Jae, Gihyeon Kim, Sujeong Kim, et al.. (2024). Fecal microbiota transplantation improves anti-PD-1 inhibitor efficacy in unresectable or metastatic solid cancers refractory to anti-PD-1 inhibitor. Cell Host & Microbe. 32(8). 1380–1393.e9. 81 indexed citations breakdown →

Park, Sook Ryun, Gihyeon Kim, Yun-Jae Kim, et al.. (2023). Fecal microbiota transplantation combined with anti-PD-1 inhibitor for unresectable or metastatic solid cancers refractory to anti-PD-1 inhibitor.. Journal of Clinical Oncology. 41(16_suppl). 105–105. 9 indexed citations

Lee, Ji Hyun, Suk‐Ho Moon, Dong‐Jun Bae, et al.. (2022). Differential RNA expression of immune-related genes and tumor cell proximity from intratumoral M1 macrophages in acral lentiginous melanomas treated with PD-1 blockade. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(11). 166516–166516. 2 indexed citations

Bae, Dong‐Jun, et al.. (2019). Whole-Body Physiologically Based Pharmacokinetic Modeling of Trastuzumab and Prediction of Human Pharmacokinetics. Journal of Pharmaceutical Sciences. 108(6). 2180–2190. 3 indexed citations

Chun, Jung Nyeo, Sanghoon Lee, Tae Il Kim, et al.. (2019). Altered expression of fucosylation pathway genes is associated with poor prognosis and tumor metastasis in non‑small cell lung cancer. International Journal of Oncology. 56(2). 559–567. 29 indexed citations

Park, Youngrong, Yeon‐Mi Ryu, Taejun Wang, et al.. (2018). Tumor Imaging: Colorectal Cancer Diagnosis Using Enzyme‐Sensitive Ratiometric Fluorescence Dye and Antibody–Quantum Dot Conjugates for Multiplexed Detection (Adv. Funct. Mater. 4/2018). Advanced Functional Materials. 28(4). 1 indexed citations

Kim, Cherry, Woo Hyun Shim, Gyunggoo Cho, et al.. (2018). Spatiotemporal heterogeneity of tumor vasculature during tumor growth and antiangiogenic treatment: MRI assessment using permeability and blood volume parameters. Cancer Medicine. 7(8). 3921–3934. 10 indexed citations

10.

Park, Youngrong, Yeon‐Mi Ryu, Taejun Wang, et al.. (2017). Colorectal Cancer Diagnosis Using Enzyme‐Sensitive Ratiometric Fluorescence Dye and Antibody–Quantum Dot Conjugates for Multiplexed Detection. Advanced Functional Materials. 28(4). 44 indexed citations

11.

Jo, Yoon Kyung, Na Yeon Park, So Jung Park, et al.. (2016). O-GlcNAcylation of ATG4B positively regulates autophagy by increasing its hydroxylase activity. Oncotarget. 7(35). 57186–57196. 34 indexed citations

12.

Jo, Doo Sin, Dong‐Jun Bae, So Jung Park, et al.. (2015). Pexophagy is induced by increasing peroxisomal reactive oxygen species in 1′10-phenanthroline-treated cells. Biochemical and Biophysical Research Communications. 467(2). 354–360. 18 indexed citations

13.

Shin, Ji Hyun, Dong‐Jun Bae, Eun Sung Kim, et al.. (2015). Autophagy Regulates Formation of Primary Cilia in Mefloquine-Treated Cells. Biomolecules & Therapeutics. 23(4). 327–332. 15 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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