Boram Kim

2.1k total citations · 1 hit paper
22 papers, 1.6k citations indexed

About

Boram Kim is a scholar working on Immunology, Insect Science and Materials Chemistry. According to data from OpenAlex, Boram Kim has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Insect Science and 7 papers in Materials Chemistry. Recurrent topics in Boram Kim's work include Invertebrate Immune Response Mechanisms (9 papers), Insect symbiosis and bacterial influences (5 papers) and Luminescence and Fluorescent Materials (5 papers). Boram Kim is often cited by papers focused on Invertebrate Immune Response Mechanisms (9 papers), Insect symbiosis and bacterial influences (5 papers) and Luminescence and Fluorescent Materials (5 papers). Boram Kim collaborates with scholars based in South Korea, Japan and United States. Boram Kim's co-authors include Won‐Jae Lee, Hye Jin You, Ji-Hwan Ryu, Kyung‐Ah Lee, Sunghee Kim, Seung Chul Shin, Joo‐Heon Yoon, Sung-Hee Kim, Youngjoo Kwon and Min‐Ji Kim and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Boram Kim

20 papers receiving 1.5k citations

Hit Papers

Drosophila Microbiome Mod... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boram Kim South Korea 12 794 487 351 182 171 22 1.6k
Eun-Mi Ha South Korea 10 694 0.9× 582 1.2× 323 0.9× 123 0.7× 72 0.4× 11 1.4k
Ilias Kounatidis United Kingdom 17 502 0.6× 358 0.7× 307 0.9× 141 0.8× 36 0.2× 37 1.3k
Bruno Maresca Italy 30 121 0.2× 179 0.4× 1.8k 5.0× 87 0.5× 77 0.5× 89 3.1k
M. Clarke Miller United States 29 152 0.2× 192 0.4× 1.3k 3.8× 99 0.5× 64 0.4× 49 2.5k
Yaning Sun China 21 96 0.1× 107 0.2× 572 1.6× 161 0.9× 80 0.5× 64 1.4k
Aiguo Zhang China 22 226 0.3× 77 0.2× 1.2k 3.5× 62 0.3× 150 0.9× 82 2.1k
Núria Pascual Spain 19 238 0.3× 93 0.2× 428 1.2× 468 2.6× 62 0.4× 32 1.1k
Masao Nakagaki Japan 21 262 0.3× 182 0.4× 715 2.0× 233 1.3× 51 0.3× 86 1.3k
Jean‐Claude Huet France 31 463 0.6× 297 0.6× 883 2.5× 517 2.8× 42 0.2× 68 2.7k
Yi‐xiang Qi China 15 439 0.6× 65 0.1× 216 0.6× 226 1.2× 109 0.6× 38 713

Countries citing papers authored by Boram Kim

Since Specialization
Citations

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

Fields of papers citing papers by Boram Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boram Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Boram Kim. A scholar is included among the top collaborators of Boram Kim 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 Boram Kim. Boram Kim 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.
Lee, Seung Yeon, Jeong Min Park, Won‐Kyu Rhim, et al.. (2024). Multifunctional extracellular vesicles and edaravone-loaded scaffolds for kidney tissue regeneration by activating GDNF/RET pathway. Nano Convergence. 11(1). 43–43. 7 indexed citations
2.
Choi, Joo-Hee, Tae‐Su Kim, Su Hui Seong, et al.. (2023). Effect of modification methods on the physical properties and immunomodulatory activity of particulate β-glucan. Food Science and Biotechnology. 33(7). 1615–1621.
3.
Seong, Su Hui, et al.. (2023). Phytochemical profiling of Symplocos tanakana Nakai and S. sawafutagi Nagam. leaf and identification of their antioxidant and anti-diabetic potential. Journal of Pharmaceutical and Biomedical Analysis. 233. 115441–115441. 4 indexed citations
4.
Kim, Seung‐Ho, Boram Kim, Ji Hoon Park, et al.. (2022). Steep-slope Schottky diode with cold metal source. Applied Physics Letters. 120(24). 5 indexed citations
6.
Kim, Boram, Makoto I. Kanai, Yangkyun Oh, et al.. (2021). Response of the microbiome–gut–brain axis in Drosophila to amino acid deficit. Nature. 593(7860). 570–574. 70 indexed citations
7.
Kim, Seung‐Ho, Boram Kim, Sung‐Jin Chang, et al.. (2020). Thickness-controlled black phosphorus tunnel field-effect transistor for low-power switches. Nature Nanotechnology. 15(3). 203–206. 169 indexed citations
8.
You, Hye Jin, Jae‐Jin Lee, Kyung‐Ah Lee, et al.. (2020). Identification and characterization of GAL4 drivers that mark distinct cell types and regions in the Drosophila adult gut. Journal of Neurogenetics. 35(1). 33–44. 7 indexed citations
9.
Hoa, Bui Thi, Boram Kim, Kyong‐Hoon Choi, et al.. (2019). Effect of Substituents on the Photophysical Properties and Bioimaging Application of BODIPY Derivatives with Triphenylamine Substituents. The Journal of Physical Chemistry B. 123(26). 5601–5607. 32 indexed citations
10.
Lee, Kyung‐Ah, Boram Kim, In-Hwan Jang, et al.. (2018). Inflammation-Modulated Metabolic Reprogramming Is Required for DUOX-Dependent Gut Immunity in Drosophila. Cell Host & Microbe. 23(3). 338–352.e5. 71 indexed citations
11.
Hyun, Soo‐Wang, Boram Kim, Sung‐Ae Hyun, & Joung‐Wook Seo. (2017). The assessment of electrophysiological activity in human-induced pluripotent stem cell-derived cardiomyocytes exposed to dimethyl sulfoxide and ethanol by manual patch clamp and multi-electrode array system. Journal of Pharmacological and Toxicological Methods. 87. 93–98. 13 indexed citations
12.
Lee, Kyung‐Ah, Boram Kim, Hye Jin You, & Won‐Jae Lee. (2015). Uracil-induced signaling pathways for DUOX-dependent gut immunity. Fly. 9(3). 115–120. 13 indexed citations
13.
Lee, Kyung‐Ah, Boram Kim, Jinhyuk Bhin, et al.. (2015). Bacterial Uracil Modulates Drosophila DUOX-Dependent Gut Immunity via Hedgehog-Induced Signaling Endosomes. Cell Host & Microbe. 17(2). 191–204. 90 indexed citations
14.
Jeong, Ji‐Eun, et al.. (2015). Modulation of Charge Density of Cationic Conjugated Polyelectrolytes for Improving the FRET‐Induced Sensory Signal with Enhanced On/Off Ratio. Macromolecular Chemistry and Physics. 217(3). 459–466. 2 indexed citations
15.
Lee, Kyung-Ah, Sung-Hee Kim, Eun Kyoung Kim, et al.. (2013). Bacterial-Derived Uracil as a Modulator of Mucosal Immunity and Gut-Microbe Homeostasis in Drosophila. Cell. 153(4). 797–811. 284 indexed citations
17.
Kim, Eunkyoung, Sunghee Kim, Hyuck‐Jin Nam, et al.. (2012). Draft Genome Sequence of Commensalibacter intestini A911T, a Symbiotic Bacterium Isolated from Drosophila melanogaster Intestine. Journal of Bacteriology. 194(5). 1246–1246. 13 indexed citations
18.
Shin, Seung Chul, Sunghee Kim, Hye Jin You, et al.. (2011). Drosophila microbiome modulates host developmental and metabolic homeostasis via insulin signaling. 334(6056). 670–674. 31 indexed citations
19.
Shin, Seung Chul, Sunghee Kim, Hye Jin You, et al.. (2011). Drosophila Microbiome Modulates Host Developmental and Metabolic Homeostasis via Insulin Signaling. Science. 334(6056). 670–674. 710 indexed citations breakdown →
20.
Nag, Okhil K., et al.. (2011). pH-responsive water soluble smart vesicles containing a bis(styryl)benzene derivative for two-photonmicroscopy imaging. Journal of Materials Chemistry. 22(5). 1977–1984. 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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