Jinman Park

1.9k total citations
25 papers, 1.2k citations indexed

About

Jinman Park is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cancer Research. According to data from OpenAlex, Jinman Park has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Cancer Research. Recurrent topics in Jinman Park's work include CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (12 papers) and RNA regulation and disease (3 papers). Jinman Park is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (12 papers) and RNA regulation and disease (3 papers). Jinman Park collaborates with scholars based in South Korea, United States and Canada. Jinman Park's co-authors include Hui Kwon Kim, Seokjoong Kim, Seonwoo Min, Sungroh Yoon, Sungtae Lee, Jae Woo Choi, Younggwang Kim, Goosang Yu, Jung Yoon Bae and Sung‐Rae Cho and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Jinman Park

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinman Park South Korea	13	934	213	112	110	87	25	1.2k
Jacob Schreiber United States	12	1.0k 1.1×	174 0.8×	78 0.7×	48 0.4×	77 0.9×	22	1.2k
Benjamin W. Pruitt United States	8	2.0k 2.1×	295 1.4×	68 0.6×	11 0.1×	140 1.6×	9	2.1k
Alison Meynert United Kingdom	15	403 0.4×	225 1.1×	110 1.0×	77 0.7×	37 0.4×	28	770
Xianhua Dai China	16	381 0.4×	58 0.3×	60 0.5×	233 2.1×	57 0.7×	87	700
Eric Shifrut Israel	20	1.2k 1.3×	238 1.1×	72 0.6×	28 0.3×	30 0.3×	24	2.3k
Yanfei Zou United States	11	695 0.7×	157 0.7×	9 0.1×	52 0.5×	74 0.9×	14	920
Nicole Rusk United States	14	610 0.7×	94 0.4×	99 0.9×	41 0.4×	88 1.0×	76	1.1k
Mandana Arbab United States	9	1.2k 1.3×	324 1.5×	24 0.2×	10 0.1×	123 1.4×	11	1.3k
Jian Shu United States	9	1.5k 1.6×	269 1.3×	110 1.0×	4 0.0×	63 0.7×	9	1.8k
Reza Mirzazadeh Sweden	11	658 0.7×	100 0.5×	95 0.8×	7 0.1×	55 0.6×	15	755

Countries citing papers authored by Jinman Park

Since Specialization

Citations

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

Fields of papers citing papers by Jinman Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinman Park

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

20 of 20 papers shown

Chen, Xinwei, et al.. (2024). MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model. The cryosphere. 18(4). 1621–1632. 7 indexed citations

Park, Jinman, et al.. (2024). SynDesign: web-based prime editing guide RNA design and evaluation tool for saturation genome editing. Nucleic Acids Research. 52(W1). W121–W125. 1 indexed citations

Park, Jinman, et al.. (2024). CASR: Efficient Cascade Network Structure with Channel Aligned method for 4K Real-Time Single Image Super-Resolution. 7911–7920.

Kim, Nahye, Sungjae Kim, Jung Hwa Seo, et al.. (2023). Deep learning models to predict the editing efficiencies and outcomes of diverse base editors. Nature Biotechnology. 42(3). 484–497. 39 indexed citations

Min, Seonwoo, Sungtae Lee, Jung Hwa Seo, et al.. (2023). Massively parallel evaluation and computational prediction of the activities and specificities of 17 small Cas9s. Nature Methods. 20(7). 999–1009. 12 indexed citations

Park, Jinman, et al.. (2023). Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation. 1837–1849. 6 indexed citations

Park, Jinman & Hui Kwon Kim. (2023). Prediction of Base Editing Efficiencies and Outcomes Using DeepABE and DeepCBE. Methods in molecular biology. 2606. 23–32. 9 indexed citations

Yu, Goosang, et al.. (2023). Prediction of efficiencies for diverse prime editing systems in multiple cell types. Cell. 186(10). 2256–2272.e23. 67 indexed citations

Kim, Younggwang, Seung‐Ho Lee, Jinman Park, et al.. (2022). High-throughput functional evaluation of human cancer-associated mutations using base editors. Nature Biotechnology. 40(6). 874–884. 39 indexed citations

10.

Lim, Jung Min, Inkyung Jung, Seok‐Jae Heo, et al.. (2021). Recording of elapsed time and temporal information about biological events using Cas9. Cell. 184(4). 1047–1063.e23. 24 indexed citations

11.

Kim, Hui Kwon, Sungtae Lee, Younggwang Kim, et al.. (2020). Sequence-specific prediction of the efficiencies of adenine and cytosine base editors. Nature Biotechnology. 38(9). 1037–1043. 81 indexed citations

12.

Kim, Nahye, Hui Kwon Kim, Sungtae Lee, et al.. (2020). Prediction of the sequence-specific cleavage activity of Cas9 variants. Nature Biotechnology. 38(11). 1328–1336. 146 indexed citations

13.

Kim, Hui Kwon, Goosang Yu, Jinman Park, et al.. (2020). Predicting the efficiency of prime editing guide RNAs in human cells. Nature Biotechnology. 39(2). 198–206. 193 indexed citations

14.

Kim, Hui Kwon, Sungtae Lee, Younggwang Kim, et al.. (2020). High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells. Nature Biomedical Engineering. 4(1). 111–124. 106 indexed citations

15.

Kim, Hui Kwon, Younggwang Kim, Sungtae Lee, et al.. (2019). SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance. Science Advances. 5(11). eaax9249–eaax9249. 140 indexed citations

16.

Suh, Yunjae, Sungho Kim, Heejae Jung, et al.. (2017). 4.1 A 640*480 dynamic vision sensor with a 9.MU.m pixel and 300Meps address-event representation. IEEE Conference Proceedings. 2017. 67.

17.

Suh, Yunjae, Sungho Kim, Heejae Jung, et al.. (2017). 4.1 A 640×480 dynamic vision sensor with a 9µm pixel and 300Meps address-event representation. 66–67. 122 indexed citations

18.

Kim, Doyeon, You Me Sung, Jinman Park, et al.. (2016). General rules for functional microRNA targeting. Nature Genetics. 48(12). 1517–1526. 100 indexed citations

19.

Park, Jinman, et al.. (2012). Fourier-based shape feature extraction technique for computer-aided B-Mode ultrasound diagnosis of breast tumor. PubMed. 2012. 6551–6554. 11 indexed citations

20.

Kim, Won‐Il, et al.. (2005). Effective User Interface for Digital Video Library. International Journal of Contents. 1(1). 6–9. 1 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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