Dan Lim

1.3k citations
8 papers · 1.1k · h-index 8

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • Microtubule and mitosis dynamics 5
    • Ubiquitin and proteasome pathways 3
    • Genomics and Chromatin Dynamics 2
    • Chemical Synthesis and Analysis 2
    • Glycosylation and Glycoproteins Research 1
    • Photosynthetic Processes and Mechanisms 1
    • Fungal and yeast genetics research 1

Dan Lim

8 papers receiving 1.1k citations

Peers

Dan Lim
Comparison fields: 5 of 62
  • Cell Biology 750
  • Oncology 352
  • Molecular Biology 836
  • Aging 9
  • Biochemistry 24
Replace Gordon N. Gill with:
Gordon N. Gill United States
D. A. Carbonaro-Hall United States
Madhu Kollareddy United Kingdom
Mourad Sanhaji Germany
Florence Larminat France
Claudia Kerzendorfer Austria
Yves Matthess Germany
Minglei Bian United States
Selena G. Burgess United Kingdom
Dongxue Su China
Dan Lim relative to Gordon N. Gill United States Gordon N. Gill's profile →
Citations per field
00.5×10×20×34×
Gordon N. Gill · 1×
Citations per year

Countries citing papers authored by Dan Lim

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008579
2 2007211
3 2011102
4 201855
5 201339
6 201238
7 200931
8 201424

About Dan Lim

Dan Lim is a scholar working on Cell Biology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Plant Science, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Chemical Synthesis and Analysis (2 papers), Glycosylation and Glycoproteins Research (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Cell Biology (750 citations), Oncology (352 citations), Molecular Biology (836 citations), Aging (9 citations) and Biochemistry (24 citations). Dan Lim has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Michael B. Yaffe, René H. Medema, Stephen S. Taylor, Raimundo Freire, Arne Lindqvist, Libor Macůrek, Michael A. Lampson, Rob Klompmaker, Steen Gammeltoft and Kazuhiro Kishi. Their work appears in journals such as ChemBioChem, Nature Chemical Biology, Nature, The EMBO Journal and Bioorganic & Medicinal Chemistry.

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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