Hong Jo Lee

651 total citations
26 papers, 452 citations indexed

About

Hong Jo Lee is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Hong Jo Lee has authored 26 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 18 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Hong Jo Lee's work include Animal Genetics and Reproduction (18 papers), CRISPR and Genetic Engineering (15 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Hong Jo Lee is often cited by papers focused on Animal Genetics and Reproduction (18 papers), CRISPR and Genetic Engineering (15 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Hong Jo Lee collaborates with scholars based in South Korea, Japan and United States. Hong Jo Lee's co-authors include Jae Yong Han, Young Hyun Park, Deivendran Rengaraj, Young‐Min Kim, Kyung Min Jung, Kyung Youn Lee, Young Sun Hwang, Tae Sub Park, Kyung Je Park and Hyung Chul Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Development.

In The Last Decade

Hong Jo Lee

25 papers receiving 439 citations

Peers

Hong Jo Lee

GENET

IMMUN

EPIDE

Kyung Min Jung South Korea

Kyung Je Park South Korea

Alewo Idoko-Akoh United Kingdom

Joshua A. Benne United States

J. F. Schneider United States

Daichi Miyahara Japan

Heli Venhoranta Finland

Minghai Hou China

Noriyuki Hamasima Japan

William S. Payne United States

Kyung Min Jung South Korea

Hong Jo Lee

248 ×0.7

GENET

251 ×0.7

47 ×0.9

60 ×1.5

IMMUN

14 ×0.4

EPIDE

Citations per year, relative to Hong Jo Lee Hong Jo Lee (= 1×) peers Kyung Min Jung

Countries citing papers authored by Hong Jo Lee

Since Specialization

Citations

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

Fields of papers citing papers by Hong Jo Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Jo Lee

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

All Works

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20 of 20 papers shown

Lee, Hong Jo, Kyung Youn Lee, Kyung Je Park, et al.. (2025). Conserved functional features of natural killer cell subsets in chicken, human, and murine immune systems. iScience. 28(8). 113144–113144.

Lee, Hong Jo, et al.. (2023). Characterization of transcriptional enhancers in the chicken genome using CRISPR-mediated activation. SHILAP Revista de lepidopterología. 5. 1269115–1269115. 2 indexed citations

Han, Jae Yong & Hong Jo Lee. (2023). Genome Editing Mediated by Primordial Germ Cell in Chicken. Methods in molecular biology. 2637. 301–312. 4 indexed citations

Rengaraj, Deivendran, Hong Jo Lee, Kyung Youn Lee, et al.. (2022). Dissecting chicken germ cell dynamics by combining a germ cell tracing transgenic chicken model with single-cell RNA sequencing. Computational and Structural Biotechnology Journal. 20. 1654–1669. 19 indexed citations

Park, Young Hyun, et al.. (2021). Establishment of a genetically engineered chicken DF-1 cell line for efficient amplification of influenza viruses in the absence of trypsin. BMC Biotechnology. 21(1). 2–2. 9 indexed citations

Lee, Hong Jo, Minseok Seo, Hee Jung Choi, et al.. (2021). DMRT1 gene disruption alone induces incomplete gonad feminization in chicken. The FASEB Journal. 35(9). e21876–e21876. 20 indexed citations

Park, Young Hyun, Hong Jo Lee, Deivendran Rengaraj, et al.. (2021). Asp149 and Asp152 in chicken and human ANP32A play an essential role in the interaction with influenza viral polymerase. The FASEB Journal. 35(6). e21630–e21630. 10 indexed citations

Lee, Kyung Youn, Hong Jo Lee, Hee Jung Choi, et al.. (2020). Highly elevated base excision repair pathway in primordial germ cells causes low base editing activity in chickens. The FASEB Journal. 34(12). 15907–15921. 15 indexed citations

Lee, Hong Jo, Kyung Je Park, Kyung Youn Lee, et al.. (2019). Sequential disruption of ALV host receptor genes reveals no sharing of receptors between ALV subgroups A, B, and J. Journal of Animal Science and Biotechnology. 10(1). 23–23. 9 indexed citations

10.

Lee, Hong Jo, Kyung Min Jung, Young‐Min Kim, et al.. (2019). Targeted gene insertion into Z chromosome of chicken primordial germ cells for avian sexing model development. The FASEB Journal. 33(7). 8519–8529. 42 indexed citations

11.

Kim, Young‐Min, Sang Kyung Kim, Kyung Min Jung, et al.. (2018). The transgenic chicken derived anti-CD20 monoclonal antibodies exhibits greater anti-cancer therapeutic potential with enhanced Fc effector functions. Biomaterials. 167. 58–68. 23 indexed citations

12.

Choi, Hee Jung, et al.. (2018). Chicken NANOG self‐associates via a novel folding‐upon‐binding mechanism. The FASEB Journal. 32(5). 2563–2573. 6 indexed citations

13.

Lee, Hong Jo, Kyung Youn Lee, Kyung Min Jung, et al.. (2017). Precise gene editing of chicken Na+/H+ exchange type 1 (chNHE1) confers resistance to avian leukosis virus subgroup J (ALV-J). Developmental & Comparative Immunology. 77. 340–349. 34 indexed citations

14.

Lee, Bo Ram, et al.. (2017). Regulatory elements and transcriptional control of chicken vasa homologue (CVH) promoter in chicken primordial germ cells. Journal of Animal Science and Biotechnology. 8(1). 6–6. 5 indexed citations

15.

Lee, Hong Jo, Hyung Chul Lee, Young Sun Hwang, et al.. (2017). The dynamic development of germ cells during chicken embryogenesis. Poultry Science. 97(2). 650–657. 20 indexed citations

16.

Lee, Hong Jo, Kyung Youn Lee, Young Hyun Park, et al.. (2017). Acquisition of resistance to avian leukosis virus subgroup B through mutations on tvb cysteine-rich domains in DF-1 chicken fibroblasts. Veterinary Research. 48(1). 48–48. 14 indexed citations

17.

Park, Tae Sub, Hyo Gun Lee, Hong Jo Lee, et al.. (2015). Deposition of bioactive human epidermal growth factor in the egg white of transgenic hens using an oviduct‐specific minisynthetic promoter. The FASEB Journal. 29(6). 2386–2396. 43 indexed citations

18.

Lee, Hyung Chul, Hyun Jeong Kim, Hyo Gun Lee, et al.. (2014). Spatial and temporal action of chicken primordial germ cells during initial migration. Reproduction. 149(2). 179–187. 30 indexed citations

19.

Rengaraj, Deivendran, Sang In Lee, Tae Sub Park, et al.. (2014). Small non-coding RNA profiling and the role of piRNA pathway genes in the protection of chicken primordial germ cells. BMC Genomics. 15(1). 757–757. 27 indexed citations

20.

Lee, Hyung Chul, Sung Kyu Kim, Tae Sub Park, et al.. (2013). Compensatory proliferation of endogenous chicken primordial germ cells after elimination by busulfan treatment. Stem Cell Research & Therapy. 4(6). 136–136. 10 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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