In Young Hwang

2.3k total citations · 3 hit papers
49 papers, 1.7k citations indexed

About

In Young Hwang is a scholar working on Molecular Biology, Biotechnology and Genetics. According to data from OpenAlex, In Young Hwang has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Biotechnology and 7 papers in Genetics. Recurrent topics in In Young Hwang's work include Gut microbiota and health (8 papers), Cancer Research and Treatments (7 papers) and CRISPR and Genetic Engineering (6 papers). In Young Hwang is often cited by papers focused on Gut microbiota and health (8 papers), Cancer Research and Treatments (7 papers) and CRISPR and Genetic Engineering (6 papers). In Young Hwang collaborates with scholars based in Singapore, United States and South Korea. In Young Hwang's co-authors include Matthew Wook Chang, Yung Seng Lee, Nikhil Aggarwal, John C. March, Adnan A. Elfarra, Adison Wong, William E. Bentley, Sandra Kittelmann, Shohei Kitano and Chun Loong Ho and has published in prestigious journals such as Cell, Chemical Reviews and Nature Communications.

In The Last Decade

In Young Hwang

47 papers receiving 1.6k citations

Hit Papers

Engineered probiotic Escherichia coli can eliminate and p... 2017 2026 2020 2023 2017 2022 2025 100 200 300

Peers

In Young Hwang
Comparison fields: 5 of 131
  • Molecular Biology 990
  • Biotechnology 321
  • Biomedical Engineering 282
  • Food Science 253
  • Genetics 209
Replace Paul Miller with:
Paul Miller United States
Wen Shan Yew Singapore
Fang Bai China
Jun Okuda Japan
Kaarel Adamberg Estonia
Reuven Rasooly United States
Menghsiao Meng Taiwan
Matthew W. Frank United States
Marthe T. C. Walvoort Netherlands
Paul Miller United States View profile →
Citations per field, relative to In Young Hwang
In Young Hwang · 1×
Citations per year, relative to In Young Hwang
In Young Hwang · 1×

Countries citing papers authored by In Young Hwang

Since Specialization
Citations

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

Fields of papers citing papers by In Young Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Young Hwang. 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 In Young Hwang. The network helps show where In Young Hwang may publish in the future.

Co-authorship network of co-authors of In Young Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of In Young Hwang. A scholar is included among the top collaborators of In Young Hwang 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 In Young Hwang. In Young Hwang 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
# Work Indexed citations
1
Engineered commensals for targeted nose-to-brain drug delivery breakdown →
37
2 32
3 10
4 80
5 7
6 45
7 7
8 113
9 2
10 13
11 39
12
Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models breakdown →
321
13 3
14 1
15 10
16 1
17 8
18 18
19 8
20 25

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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