Heejin Roh

492 citations
14 papers · 324 · 1 hit paper · h-index 7

Impact in

Papers in

Heejin Roh

12 papers receiving 315 citations

Heejin Roh's Hit Papers

Efficient prime editing in mouse brain, liver and heart with dual AAVs 2023 · 129 citations
1290+1+2Years since publication4080120

Peers

Heejin Roh
Comparison fields: 5 of 46
  • Business and International Management 11
  • Pharmacology 56
  • Molecular Biology 204
  • Aging 5
  • Computer Networks and Communications 63
Replace Xiaolong Qi with:
Xiaolong Qi China
Chih‐Hsien Wu Taiwan
Amoolya H. Singh United States
S. Kasra Tabatabaei United States
Miguel Antunes Portugal
Nicolas Kylilis United Kingdom
Antian Wang United States
Jinghu Li China
Sunwoo Kim South Korea
Hyeonjin Kim South Korea
Heejin Roh relative to Xiaolong Qi China Xiaolong Qi's profile →
Citations per field
00.5×6.2×
Xiaolong Qi · 1×
Citations per year

Countries citing papers authored by Heejin Roh

Since Specialization
Citations

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

Fields of papers citing papers by Heejin Roh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Heejin Roh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heejin Roh Line = papers co-authored together Heejin Roh links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Efficient prime editing in mouse brain, liver and heart with dual AAVs
Hit paper breakdown →
2023129
2 200947
3 202038
4 201230
5 201828
6 202222
7 199716
8 20126
9 20043
10 20252
11 20082
12
A Modified Midtread Frequency Quantization Scheme for Digital Phase-Locked Loops
20041
13
Frequency Synchronization Algorithm for Improving Performance of OFDMA System in 3GPP LTE Downlink
20090
14 20120

About Heejin Roh

Heejin Roh is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications, Pharmacology and Signal Processing, having authored 14 papers that have together received 324 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (6 papers), Wireless Communication Networks Research (4 papers), Advanced Adaptive Filtering Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), PAPR reduction in OFDM (2 papers), Genomics and Chromatin Dynamics (2 papers), Blind Source Separation Techniques (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Business and International Management (11 citations), Pharmacology (56 citations), Molecular Biology (204 citations), Aging (5 citations) and Computer Networks and Communications (63 citations). Heejin Roh has collaborated with scholars based in United States and South Korea. Frequent co-authors include Seokhee Kim, Jung-In Kim, Xiao Wang, Andrew T. Nelson, David R. Liu, Jessie R. Davis, Meirui An, Peyton B. Randolph, Kiran Musunuru and Samagya Banskota. Their work appears in journals such as Nature Methods, Nature Communications, IEEE Signal Processing Letters, IEEE Transactions on Consumer Electronics and Journal of Communications and Networks.

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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