Jung Jin Lim

20 papers receiving 296 citations

Peers

Jung Jin Lim
Comparison fields: 5 of 66
  • Reproductive Medicine 145
  • Public Health, Environmental and Occupational Health 111
  • Health, Toxicology and Mutagenesis 21
  • Immunology 31
  • Molecular Biology 90
Replace Beihong Zheng with:
Beihong Zheng China
Gabriele Matilionyte United Kingdom
Melissa D. Tharmalingam United Kingdom
Yuki Omori Japan
Lydia Ferguson United States
Shabnam Bakhshalizadeh Iran
Soumaya Mougou Tunisia
Vivien Wong Hong Kong
Nazlı Akin Belgium
Jung Jin Lim relative to Beihong Zheng China Beihong Zheng's profile →
Citations per field
00.5×10×16×
Beihong Zheng · 1×
Citations per year

Countries citing papers authored by Jung Jin Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jung Jin Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung Jin Lim. 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 Jung Jin Lim. The network helps show where Jung Jin Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jung Jin Lim, 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 Jung Jin Lim Line = papers co-authored together Jung Jin Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201753
2 201733
3 200628
4 201421
5 201120
6 201019
7 201016
8 201014
9 201014
10 201211
11 201011
12 201410
13 20199
14 20138
15 20138
16 20166
17 20176
18 20144
19 20104
20 20134

About Jung Jin Lim

Jung Jin Lim is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Automotive Engineering, having authored 20 papers that have together received 299 indexed citations. Recurring topics across this work include Sperm and Testicular Function (8 papers), Reproductive Biology and Fertility (8 papers), Pluripotent Stem Cells Research (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Animal Genetics and Reproduction (2 papers), Renal and related cancers (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Reproductive Medicine (145 citations), Public Health, Environmental and Occupational Health (111 citations), Health, Toxicology and Mutagenesis (21 citations), Immunology (31 citations) and Molecular Biology (90 citations). Jung Jin Lim has collaborated with scholars based in South Korea, Canada and Macao. Frequent co-authors include Dong Ryul Lee, Benjamin K. Tsang, Tae Ki Yoon, Seung‐Hun Song, Reza Salehi, Patrícia Lima, Kye-Seong Kim, Chong Won Bak, Chae Young Han and Jeoung Eun Lee. Their work appears in journals such as Fertility and Sterility, Journal of Assisted Reproduction and Genetics, Scientific Reports, BioMed Research International and Molecules and Cells.

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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