Ji-Nu Kim

1.4k total citations
3 papers, 202 citations indexed

About

Ji-Nu Kim is a scholar working on Molecular Biology, Dermatology and Genetics. According to data from OpenAlex, Ji-Nu Kim has authored 3 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Dermatology and 1 paper in Genetics. Recurrent topics in Ji-Nu Kim's work include Microbial Metabolic Engineering and Bioproduction (2 papers), Contact Dermatitis and Allergies (1 paper) and Dermatology and Skin Diseases (1 paper). Ji-Nu Kim is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (2 papers), Contact Dermatitis and Allergies (1 paper) and Dermatology and Skin Diseases (1 paper). Ji-Nu Kim collaborates with scholars based in United States. Ji-Nu Kim's co-authors include Karsten Zengler, Pieter C. Dorrestein, Lívia S. Zaramela, Mahmoud M. Al‐Bassam, Amnon Amir, Kathleen Dorrestein, Ricardo Silva, Karenina Sanders, Tomasz Kościółek and Stefan Janssen and has published in prestigious journals such as Nature Communications, PLoS Computational Biology and BMC Biology.

In The Last Decade

Ji-Nu Kim

3 papers receiving 192 citations

Peers

Countries citing papers authored by Ji-Nu Kim

Since Specialization

Citations

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

Fields of papers citing papers by Ji-Nu Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji-Nu Kim

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

All Works

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3 of 3 papers shown

#	Work	Indexed citations
1	Predicting proteome allocation, overflow metabolism, and metal requirements in a model acetogen 2019 ·PLoS Computational Biology ·Joanne K. Liu, Colton J. Lloyd, Mahmoud M. Al‐Bassam, Ali Ebrahim, Ji-Nu Kim, Connor A. Olson, Alexander A. Aksenov, Pieter C. Dorrestein, Karsten Zengler	49
2	The impact of skin care products on skin chemistry and microbiome dynamics 2019 ·BMC Biology ·Amina Bouslimani, Ricardo Silva, Tomasz Kościółek, Stefan Janssen, Chris Callewaert, Amnon Amir, Kathleen Dorrestein, Alexey V. Melnik, Lívia S. Zaramela, Ji-Nu Kim, Gregory Humphrey, Tara Schwartz, Karenina Sanders, Caitriona Brennan, Tal Luzzatto‐Knaan, Gail Ackermann, Daniel McDonald, Karsten Zengler, Rob Knight, Pieter C. Dorrestein	121
3	Optimization of carbon and energy utilization through differential translational efficiency 2018 ·Nature Communications ·Mahmoud M. Al‐Bassam, Ji-Nu Kim, Lívia S. Zaramela, Benjamin P. Kellman, Cristal Zúñiga, Jacob M. Wozniak, David J. Gonzalez, Karsten Zengler	32

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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