Borlan Pan

2.2k citations
23 papers · 1.8k · h-index 16

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • Protein Structure and Dynamics
    • Chemical Synthesis and Analysis
    • NF-κB Signaling Pathways

Papers in

    • Protein Structure and Dynamics 8
    • Ubiquitin and proteasome pathways 4
    • DNA Repair Mechanisms 2
    • Angiogenesis and VEGF in Cancer 2
    • NF-κB Signaling Pathways 3

Borlan Pan

23 papers receiving 1.8k citations

Peers

Borlan Pan
Comparison fields: 5 of 75
  • Molecular Biology 1.1k
  • Cancer Research 209
  • Immunology 281
  • Computational Theory and Mathematics 121
  • Oncology 137
Replace Konrad Miatkowski with:
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Borlan Pan relative to Konrad Miatkowski United States Konrad Miatkowski's profile →
Citations per field
00.5×1.5×2.2×
Konrad Miatkowski · 1×
Citations per year

Countries citing papers authored by Borlan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Borlan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012524
2 2009174
3 1999164
4 2010164
5 2004144
6 200894
7 200783
8 201383
9 200065
10 200258
11 200154
12 200351
13 201140
14 201431
15 199929
16 201517
17 200613
18 199712
19 199710
20 19937

About Borlan Pan

Borlan Pan is a scholar working on Molecular Biology, Cancer Research, Immunology, Materials Chemistry and Genetics, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Ubiquitin and proteasome pathways (4 papers), NF-κB Signaling Pathways (3 papers), Enzyme Structure and Function (3 papers), T-cell and B-cell Immunology (2 papers), DNA Repair Mechanisms (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (209 citations), Immunology (281 citations), Computational Theory and Mathematics (121 citations) and Oncology (137 citations). Borlan Pan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Peter K. Jackson, Gregory P. Mullen, Nicholas J. Skelton, Melissa A. Starovasnik, Mark W. Maciejewski, Wayne J. Fairbrother, S.G. Hymowitz, Michael Robert Gryk, Assen Marintchev and Christian Wiesmann. Their work appears in journals such as Journal of Molecular Biology, Journal of Crystal Growth, Molecular Cell, Protein Science and Bioorganic & Medicinal Chemistry Letters.

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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