Hwan Sub Lim

36 papers receiving 393 citations

Peers

Hwan Sub Lim
Comparison fields: 5 of 90
  • Molecular Medicine 27
  • Genetics 53
  • Clinical Biochemistry 33
  • Developmental Neuroscience 19
  • Applied Microbiology and Biotechnology 9
Replace Deborah Johnson with:
Deborah Johnson United Kingdom
Dae‐Hyun Ko South Korea
Xiaoshan Zhang China
Richard M. Green United States
Francesca Montalto Italy
Md Ashik Ullah Australia
Handono Kalim Indonesia
Gökhan Çakırca Türkiye
Enqiang Mao China
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Hwan Sub Lim relative to Deborah Johnson United Kingdom Deborah Johnson's profile →
Citations per field
00.5×4.8×
Deborah Johnson · 1×
Citations per year

Countries citing papers authored by Hwan Sub Lim

Since Specialization
Citations

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

Fields of papers citing papers by Hwan Sub Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 201339
3 200735
4 200635
5 201131
6 201929
7 200625
8 201020
9 199118
10 200915
11 200914
12 200913
13 202111
14 20089
15 20087
16 20226
17 20156
18 20235
19 20105
20 20075

About Hwan Sub Lim

Hwan Sub Lim is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 38 papers that have together received 406 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Electrolyte and hormonal disorders (3 papers), Meta-analysis and systematic reviews (3 papers), Statistical Methods in Clinical Trials (3 papers), Allergic Rhinitis and Sensitization (2 papers), Blood transfusion and management (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Molecular Medicine (27 citations), Genetics (53 citations), Clinical Biochemistry (33 citations), Developmental Neuroscience (19 citations) and Applied Microbiology and Biotechnology (9 citations). Hwan Sub Lim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hyun Sook Kim, Yunsop Chong, Young Jin Kim, Kyungwon Lee, Dongeun Yong, Hyun‐Jun Kim, Hyukmin Lee, Yu Seun Kim, Duck Jin Hong and Hyun‐Kyung Park. Their work appears in journals such as Annals of Laboratory Medicine, Clinica Chimica Acta, BMB Reports, Synthesis and Scientific Reports.

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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