Soo Bin Kwon

1.0k total citations
9 papers, 256 citations indexed

About

Soo Bin Kwon is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Soo Bin Kwon has authored 9 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Endocrine and Autonomic Systems and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Soo Bin Kwon's work include Genomics and Chromatin Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Epigenetics and DNA Methylation (2 papers). Soo Bin Kwon is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Epigenetics and DNA Methylation (2 papers). Soo Bin Kwon collaborates with scholars based in United States, Singapore and China. Soo Bin Kwon's co-authors include Ha Vu, Ahmet Ay, Jason Ernst, Krista K. Ingram, Allan Filipowicz, Kasper D. Hansen, Steve Horvath, Marco Morselli, Matteo Pellegrini and Amin Haghani and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Soo Bin Kwon

9 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soo Bin Kwon United States	5	144	74	61	31	29	9	256
Ha Vu United States	8	225 1.6×	55 0.7×	38 0.6×	39 1.3×	19 0.7×	14	325
Yasmine M. Cissé United States	10	108 0.8×	177 2.4×	20 0.3×	24 0.8×	22 0.8×	16	389
Aaron E. Schirmer United States	7	32 0.2×	199 2.7×	44 0.7×	14 0.5×	34 1.2×	13	302
Reed M. O’Connor United States	6	55 0.4×	115 1.6×	42 0.7×	34 1.1×	64 2.2×	9	272
Konstantin Chichinadze Georgia	11	39 0.3×	14 0.2×	55 0.9×	14 0.5×	10 0.3×	17	289
Rei-ichiro Ohno Japan	5	104 0.7×	88 1.2×	36 0.6×	30 1.0×	119 4.1×	5	271
Josephine E. E. U. Hellberg United Kingdom	7	59 0.4×	62 0.8×	17 0.3×	27 0.9×	3 0.1×	8	232
Ines Heise United Kingdom	8	120 0.8×	51 0.7×	11 0.2×	19 0.6×	40 1.4×	9	228
Evrim Yildirim United States	9	64 0.4×	150 2.0×	9 0.1×	50 1.6×	16 0.6×	11	299
Jian Jiang China	7	125 0.9×	50 0.7×	24 0.4×	25 0.8×	96 3.3×	10	335

Countries citing papers authored by Soo Bin Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Soo Bin Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo Bin Kwon. 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 Soo Bin Kwon. The network helps show where Soo Bin Kwon may publish in the future.

Co-authorship network of co-authors of Soo Bin Kwon

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

All Works

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9 of 9 papers shown

1.

Arneson, A, Amin Haghani, Michael J. Thompson, et al.. (2022). A mammalian methylation array for profiling methylation levels at conserved sequences. Nature Communications. 13(1). 783–783. 104 indexed citations

2.

Kwon, Soo Bin & Jason Ernst. (2021). Single-nucleotide conservation state annotation of the SARS-CoV-2 genome. Communications Biology. 4(1). 698–698. 3 indexed citations

3.

Kwon, Soo Bin & Jason Ernst. (2021). Learning a genome-wide score of human–mouse conservation at the functional genomics level. Nature Communications. 12(1). 2495–2495. 11 indexed citations

4.

Phung, Tanya N., et al.. (2020). Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations. Nature Communications. 11(1). 6168–6168. 2 indexed citations

5.

Ge, Xinzhou, et al.. (2019). EpiAlign: an alignment-based bioinformatic tool for comparing chromatin state sequences. Nucleic Acids Research. 47(13). e77–e77. 4 indexed citations

6.

Kwon, Soo Bin & Jason Ernst. (2018). Investigating enhancer evolution with massively parallel reporter assays. Genome biology. 19(1). 114–114. 4 indexed citations

7.

Kwon, Soo Bin, Ha Vu, Yin Yeng Lee, et al.. (2018). Noise in the Vertebrate Segmentation Clock Is Boosted by Time Delays but Tamed by Notch Signaling. Cell Reports. 23(7). 2175–2185.e4. 32 indexed citations

8.

Kwon, Soo Bin, et al.. (2017). Circadian Clock Model Supports Molecular Link Between PER3 and Human Anxiety. Scientific Reports. 7(1). 9893–9893. 58 indexed citations

9.

Ingram, Krista K., Ahmet Ay, Soo Bin Kwon, et al.. (2016). Molecular insights into chronotype and time-of-day effects on decision-making. Scientific Reports. 6(1). 29392–29392. 38 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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