Lim Heo

14.9k citations
38 papers · 8.3k indexed · 4 hit papers · h-index 23

Lim Heo

38 papers receiving 8.2k citations

Hit Papers

ColabFold: making prote...5.0k201220262016202110002.0k3.0k4.0k5.0k

Peers

Lim Heo
Comparison fields: 5 of 154
  • Molecular Biology 6.1k
  • Biotechnology 445
  • Structural Biology 62
  • Microbiology 262
  • Infectious Diseases 755
Replace Gerardo Tauriello with:
Gerardo Tauriello Switzerland
Rafal Gumienny Switzerland
Christine Rempfer Germany
Tjaart de Beer United Kingdom
Rosalba Lepore Italy
Florian Heer Switzerland
Mark N. Wass United Kingdom
Milot Mirdita South Korea
M. S. Madhusudhan India
Sergey Ovchinnikov United States
Lim Heo relative to Gerardo Tauriello Switzerland Gerardo Tauriello's profile →
Citations per field
00.5×4.8×
Gerardo Tauriello · 1×
Citations per year

Countries citing papers authored by Lim Heo

Since Specialization
Citations

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

Fields of papers citing papers by Lim Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202396
2 202324
3 20227
4 202226
5
Multi‐state modeling of G‐protein coupled receptors at experimental accuracybreakdown →
2022124
6
ColabFold: making protein folding accessible to allbreakdown →
20225020
7 202116
8 20204
9 201953
10 201860
11 20183
12 201793
13 201780
14 201731
15 201731
16 20166
17 2015229
18 201470
19
GalaxyRefine: protein structure refinement driven by side-chain repackingbreakdown →
2013948
20 201135

About Lim Heo

Lim Heo is a scholar working on Structural Biology, Molecular Biology and Materials Chemistry, having authored 38 papers that have together received 8.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (24 papers), Mass Spectrometry Techniques and Applications (7 papers), RNA and protein synthesis mechanisms (7 papers), Computational Drug Discovery Methods (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Molecular Biology (6.1k citations), Biotechnology (445 citations) and Structural Biology (62 citations). Lim Heo has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Sergey Ovchinnikov, Konstantin Schütze, Milot Mirdita, Yoshitaka Moriwaki, Martin Steinegger, Chaok Seok, Hahnbeom Park, Michael Feig, Jin Hwan Ko and Hasup Lee. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Journal of Chemical Theory and Computation, Nature Methods and Current Opinion in Structural Biology.

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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