Seunghoon Back

540 total citations
8 papers, 147 citations indexed

About

Seunghoon Back is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Seunghoon Back has authored 8 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Physiology. Recurrent topics in Seunghoon Back's work include Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). Seunghoon Back is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). Seunghoon Back collaborates with scholars based in South Korea and United States. Seunghoon Back's co-authors include Sang‐Won Lee, Hokeun Kim, Daehee Hwang, Hye Yeon Choi, Sehyun Chae, Sung Hee Choi, Kyong Soo Park, Jisun Yoon, Nguyen Tien Khi and Kwangyeol Lee and has published in prestigious journals such as Chemical Communications, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Seunghoon Back

6 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seunghoon Back South Korea	5	64	41	27	24	22	8	147
Peixian Wu China	9	76 1.2×	18 0.4×	29 1.1×	94 3.9×	4 0.2×	13	240
Arun Kumar Singh India	8	46 0.7×	12 0.3×	16 0.6×	48 2.0×	52 2.4×	26	259
Rebecca A. Faulkner United States	7	73 1.1×	10 0.2×	9 0.3×	39 1.6×	16 0.7×	12	201
Geoffrey Prévot France	8	41 0.6×	24 0.6×	24 0.9×	21 0.9×	7 0.3×	11	142
Minoru Sato Japan	9	123 1.9×	18 0.4×	20 0.7×	19 0.8×	4 0.2×	29	326
Xinyan Wang China	8	162 2.5×	12 0.3×	43 1.6×	57 2.4×	8 0.4×	18	313
Shigetaka Nakamura Japan	11	185 2.9×	19 0.5×	14 0.5×	38 1.6×	4 0.2×	47	356
Takatoshi Matsuo Japan	9	131 2.0×	13 0.3×	7 0.3×	74 3.1×	14 0.6×	19	389
Bo Tian United States	12	161 2.5×	11 0.3×	9 0.3×	52 2.2×	4 0.2×	19	357
Chenran Wang China	5	118 1.8×	17 0.4×	53 2.0×	49 2.0×	27 1.2×	11	243

Countries citing papers authored by Seunghoon Back

Since Specialization

Citations

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

Fields of papers citing papers by Seunghoon Back

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seunghoon Back

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

8 of 8 papers shown

1.

Park, Ji-Hwan, Seunghoon Back, Roshan Sharma Poudyal, et al.. (2025). Identification of STN7-associated leaf senescence networks in thylakoid membranes of Arabidopsis. iScience. 28(6). 112577–112577.

2.

Park, Jong‐Moon, et al.. (2025). Tear Proteome Analysis with Patients with Primary Nasolacrimal Duct Obstruction. International Journal of Molecular Sciences. 26(13). 6449–6449.

3.

Avtonomov, Dmitry M., Seunghoon Back, Hokeun Kim, et al.. (2023). Targeted proteomics data interpretation with DeepMRM. Cell Reports Methods. 3(7). 100521–100521. 4 indexed citations

4.

Kim, Hee Kee, Jingi Bae, Sung Ho Lee, et al.. (2020). Blockers of Wnt3a, Wnt10a, or β-Catenin Prevent Chemotherapy-Induced Neuropathic Pain In Vivo. Neurotherapeutics. 18(1). 601–614. 18 indexed citations

5.

Park, Jong‐Moon, Ji-Hwan Park, Dong‐Gi Mun, et al.. (2015). Integrated analysis of global proteome, phosphoproteome and glycoproteome enables complementary interpretation of disease-related protein networks. Scientific Reports. 5(1). 18189–18189. 28 indexed citations

6.

Madar, Inamul Hasan, Seunghoon Back, Hokeun Kim, et al.. (2014). Reduction of Ambiguity in Phosphorylation-site Localization in Large-scale Phosphopeptide Profiling by Data Filter using Unique Mass Class Information. Bulletin of the Korean Chemical Society. 35(3). 845–850. 2 indexed citations

7.

Chae, Sehyun, Hokeun Kim, Seunghoon Back, et al.. (2014). A Protein Profile of Visceral Adipose Tissues Linked to Early Pathogenesis of Type 2 Diabetes Mellitus. Molecular & Cellular Proteomics. 13(3). 811–822. 59 indexed citations

8.

Yoon, Jisun, Nguyen Tien Khi, Byeongyoon Kim, et al.. (2012). High yield synthesis of catalytically active five-fold twinned Pt nanorods from a surfactant-ligated precursor. Chemical Communications. 49(6). 573–575. 36 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.

Explore authors with similar magnitude of impact