Hwan Sub Lim

36 papers receiving 399 citations

Peers

Hwan Sub Lim
Comparison fields: 5 of 83
  • Molecular Medicine 26
  • Genetics 44
  • Developmental Neuroscience 15
  • Applied Microbiology and Biotechnology 7
  • Clinical Biochemistry 24
Replace Deborah Johnson with:
Deborah Johnson United Kingdom
Nicolas Collet France
T Matsushima Japan
Ilona Benkő Hungary
Sibel Hacıoğlu Türkiye
Robert Shumaker United States
Daren L. Knoell United States
Jeremy Kean Yi Yap Malaysia
Victor Dumitraşcu Romania
Seung Hee Lee South Korea
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 201748
2 201339
3 200735
4 200635
5 201131
6 201930
7 200625
8 201020
9 199118
10 200915
11 200914
12 200913
13 202111
14 20089
15 20087
16 20226
17 20156
18 20105
19 20235
20 20015

About Hwan Sub Lim

Hwan Sub Lim is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 412 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (5 papers), Electrolyte and hormonal disorders (3 papers), Hepatitis B Virus Studies (2 papers), Stress Responses and Cortisol (2 papers), Allergic Rhinitis and Sensitization (2 papers), Blood transfusion and management (2 papers), Malaria Research and Control (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Molecular Medicine (26 citations), Genetics (44 citations), Developmental Neuroscience (15 citations), Applied Microbiology and Biotechnology (7 citations) and Clinical Biochemistry (24 citations). Hwan Sub Lim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Yunsop Chong, Hyun Sook Kim, Kyungwon Lee, Young Jin Kim, Dongeun Yong, Hyukmin Lee, Hyun‐Kyung Park, Yongjung Park, Hyun‐Jun Kim and Duck Jin Hong. Their work appears in journals such as Annals of Laboratory Medicine, Clinica Chimica Acta, Synthesis, BMB Reports and Biochemical and Biophysical Research Communications.

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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