Changjin Hong

1.6k total citations
38 papers, 867 citations indexed

About

Changjin Hong is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Changjin Hong has authored 38 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Artificial Intelligence. Recurrent topics in Changjin Hong's work include Genomics and Phylogenetic Studies (8 papers), Algorithms and Data Compression (6 papers) and vaccines and immunoinformatics approaches (4 papers). Changjin Hong is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Algorithms and Data Compression (6 papers) and vaccines and immunoinformatics approaches (4 papers). Changjin Hong collaborates with scholars based in United States, South Korea and China. Changjin Hong's co-authors include W. Evan Johnson, Solaiappan Manimaran, Eduardo Castro‐Nallar, Keith A. Crandall, Tae Hyun Hwang, Allyson L. Byrd, Ying Shen, Joseph Perez-Rogers, Delbert E. Day and Rui Kuang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Changjin Hong

36 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changjin Hong United States 15 516 149 113 79 78 38 867
Diana Noronha Nunes Brazil 16 482 0.9× 162 1.1× 94 0.8× 50 0.6× 208 2.7× 33 835
Kousuke Tashiro Japan 17 692 1.3× 96 0.6× 72 0.6× 62 0.8× 61 0.8× 29 1.0k
Daniel C. Edelman United States 17 393 0.8× 213 1.4× 108 1.0× 53 0.7× 121 1.6× 34 903
Kaori Ide Japan 17 706 1.4× 87 0.6× 102 0.9× 71 0.9× 42 0.5× 53 1.1k
Anders B. Dohlman United States 9 372 0.7× 182 1.2× 77 0.7× 80 1.0× 66 0.8× 13 660
Xi‐Tai Huang China 16 359 0.7× 191 1.3× 101 0.9× 38 0.5× 144 1.8× 52 885
Sherry Bhalla India 17 977 1.9× 198 1.3× 78 0.7× 157 2.0× 81 1.0× 32 1.4k
Yaqoub Ashhab Palestinian Territory 14 674 1.3× 195 1.3× 49 0.4× 196 2.5× 99 1.3× 28 943
Mitra Ahmadi France 16 288 0.6× 99 0.7× 69 0.6× 92 1.2× 50 0.6× 37 704
Hirokazu Kimura Japan 15 462 0.9× 192 1.3× 135 1.2× 66 0.8× 154 2.0× 33 808

Countries citing papers authored by Changjin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Changjin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjin Hong

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

All Works

20 of 20 papers shown
1.
2.
Clemenceau, Jean R., Emily S. Norton, Tanmay Kulkarni, et al.. (2024). TMIC-67. EMERGING ROLE OF EXTRACELLULAR MATRIX STIFFNESS AS A HALLMARK OF GLIOBLASTOMA: INSIGHT TO MECHANICAL MEMORY FORMATION AND PROLONGED INVASION IN THE TUMOR PERIPHERY. Neuro-Oncology. 26(Supplement_8). viii313–viii313.
3.
Hong, Changjin, John D. Karalis, Suntrea T.G. Hammer, et al.. (2023). Gene expression profiles in Hispanic patients with early-onset gastric cancer.. Journal of Clinical Oncology. 41(4_suppl). 464–464. 1 indexed citations
4.
Hong, Changjin, Yoon Ho Choi, David N. Wald, & Tae Hyun Hwang. (2023). 1199 Identifying a source of dysfunctional CAR T cells incorporating with PBMC scRNA-seq data in patients with Non-Hodgkin Lymphoma. SHILAP Revista de lepidopterología. A1322–A1322. 2 indexed citations
5.
Hong, Changjin, Boro Dropulić, Paolo F. Caimi, et al.. (2022). Sequential Single-Cell Transcriptional and Protein Marker Profiling Reveals TIGIT as a Marker of CD19 CAR-T Cell Dysfunction in Patients with Non-Hodgkin Lymphoma. Cancer Discovery. 12(8). 1886–1903. 52 indexed citations
6.
Karalis, John D., Changjin Hong, Jean R. Clemenceau, et al.. (2022). ACTA2 Expression Predicts Survival and Is Associated with Response to Immune Checkpoint Inhibitors in Gastric Cancer. Clinical Cancer Research. 29(6). 1077–1085. 21 indexed citations
7.
Karalis, John D., Suntrea T.G. Hammer, Changjin Hong, et al.. (2022). Lenvatinib inhibits the growth of gastric cancer patient-derived xenografts generated from a heterogeneous population. Journal of Translational Medicine. 20(1). 116–116. 8 indexed citations
8.
Park, Chan Hyuk, et al.. (2022). Multi-omics reveals microbiome, host gene expression, and immune landscape in gastric carcinogenesis. iScience. 25(3). 103956–103956. 22 indexed citations
9.
Kang, Jeonghyun, Jae‐Hoon Lee, Hye Sun Lee, et al.. (2021). Radiomics Features of 18F-Fluorodeoxyglucose Positron-Emission Tomography as a Novel Prognostic Signature in Colorectal Cancer. Cancers. 13(3). 392–392. 14 indexed citations
10.
Hong, Changjin, Boro Dropulić, Paolo F. Caimi, et al.. (2021). Sequential Single Cell Transcriptional and Protein Marker Profiling Reveals Tigit As a Marker of CD19 CAR-T Cell Dysfunction in Patients with Non-Hodgkin's Lymphoma. Blood. 138(Supplement 1). 164–164. 3 indexed citations
11.
Wang, Sam C., Yunku Yeu, Suntrea T.G. Hammer, et al.. (2020). Hispanic/Latino Patients with Gastric Adenocarcinoma Have Distinct Molecular Profiles Including a High Rate of Germline CDH1 Variants. Cancer Research. 80(11). 2114–2124. 21 indexed citations
12.
Ha, Mihyang, Changjin Hong, Weiqiang Kang, et al.. (2019). TEK is a novel prognostic marker for clear cell renal cell carcinoma.. European review for medical and pharmacological sciences. 23(4). 1451–1458. 20 indexed citations
13.
Whipple, Joseph M., P. Joseph Aruscavage, David A. Nix, et al.. (2015). Genome-wide profiling of the C. elegans dsRNAome. RNA. 21(5). 786–800. 40 indexed citations
14.
Hong, Changjin, Solaiappan Manimaran, Ying Shen, et al.. (2014). PathoScope 2.0: a complete computational framework for strain identification in environmental or clinical sequencing samples. Microbiome. 2(1). 33–33. 165 indexed citations
15.
Hong, Changjin, Solaiappan Manimaran, & W. Evan Johnson. (2014). PathoQC: Computationally Efficient Read Preprocessing and Quality Control for High-Throughput Sequencing Data Sets. Cancer Informatics. 13s1(Suppl 1). CIN.S13890–CIN.S13890. 5 indexed citations
16.
Hong, Changjin, Saher Sue Hammoud, Douglas T. Carrell, et al.. (2013). Probabilistic alignment leads to improved accuracy and read coverage for bisulfite sequencing data. BMC Bioinformatics. 14(1). 337–337. 6 indexed citations
17.
Cai, Hong, Changjin Hong, Timothy Lilburn, et al.. (2013). A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum. BMC Bioinformatics. 14(S12). S2–S2. 5 indexed citations
18.
Atluri, Gowtham, et al.. (2012). Co-clustering phenome–genome for phenotype classification and disease gene discovery. Nucleic Acids Research. 40(19). e146–e146. 52 indexed citations
19.
Cai, Hong, Changjin Hong, Jianying Gu, et al.. (2012). Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum. BMC Systems Biology. 6(S3). S5–S5. 21 indexed citations
20.
Hong, Changjin, et al.. (2005). Handling Updates Of A Biological Sequence Based On Hidden Markov Models. Zenodo (CERN European Organization for Nuclear Research). 1–4. 2 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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