Yon Ju Ji

28 total papers · 717 total citations
23 papers, 470 citations indexed

About

Yon Ju Ji is a scholar working on Molecular Biology, Aging and Cell Biology. According to data from OpenAlex, Yon Ju Ji has authored 23 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Aging and 7 papers in Cell Biology. Recurrent topics in Yon Ju Ji's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). Yon Ju Ji is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). Yon Ju Ji collaborates with scholars based in United States, South Korea and China. Yon Ju Ji's co-authors include Jiou Wang, Janet Ugolino, Nathan Brady, Anne Hamacher‐Brady, Ira Daar, Kathleen Mood, Akhilesh Pandey, Justin Chu, Raja Sekhar Nirujogi and Hyun‐Shik Lee and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yon Ju Ji

22 papers receiving 468 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yon Ju Ji 255 180 108 91 87 23 470
Zongbing Hao 226 0.9× 255 1.4× 70 0.6× 141 1.5× 54 0.6× 18 528
Long Ma 237 0.9× 88 0.5× 90 0.8× 87 1.0× 33 0.4× 24 493
Bilal Khalil 304 1.2× 183 1.0× 102 0.9× 116 1.3× 56 0.6× 13 470
Timothy J. Strovas 232 0.9× 145 0.8× 48 0.4× 21 0.2× 67 0.8× 13 440
Nathaniel Safren 255 1.0× 306 1.7× 105 1.0× 74 0.8× 97 1.1× 16 482
A Arosio 154 0.6× 265 1.5× 59 0.5× 107 1.2× 82 0.9× 13 443
Niranjanan Nirmalananthan 294 1.2× 174 1.0× 157 1.5× 51 0.6× 40 0.5× 23 532
Gloria M. Palomo 299 1.2× 205 1.1× 107 1.0× 141 1.5× 78 0.9× 11 534
Lindsey D. Goodman 241 0.9× 117 0.7× 66 0.6× 34 0.4× 23 0.3× 24 444
Linhao Ruan 413 1.6× 81 0.5× 43 0.4× 71 0.8× 147 1.7× 13 535

Countries citing papers authored by Yon Ju Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yon Ju Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yon Ju Ji. 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 Yon Ju Ji. The network helps show where Yon Ju Ji may publish in the future.

Co-authorship network of co-authors of Yon Ju Ji

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

All Works

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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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