Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
REFMAC5 for the refinement of macromolecular crystal structures
20116.8k citationsGarib N. Murshudov, Pavol Skubák et al.Acta Crystallographica Section D Biological Crystallographyprofile →
REFMAC5 dictionary: organization of prior chemical knowledge and guidelines for its use
20041.1k citationsAlexei A. Vagin, Roberto A. Steiner et al.Acta Crystallographica Section D Biological Crystallographyprofile →
BALBES: a molecular-replacement pipeline
2007653 citationsFei Long, Alexei A. Vagin et al.Acta Crystallographica Section D Biological Crystallographyprofile →
ThePDB_REDOserver for macromolecular structure model optimization
2014632 citationsRobbie P. Joosten, Fei Long et al.IUCrJprofile →
Structure of the Yeast Mitochondrial Large Ribosomal Subunit
2014460 citationsAlexey Amunts, Alan Brown et al.Scienceprofile →
Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions
2014457 citationsAlan Brown, Fei Long et al.Acta Crystallographica Section D Biological Crystallographyprofile →
AceDRG: a stereochemical description generator for ligands
2017261 citationsFei Long, Robert A. Nicholls et al.Acta Crystallographica Section D Structural Biologyprofile →
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
2022166 citationsJiangtao Xie, Fei Long et al.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Fei Long'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 Fei Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Long more than expected).
This network shows the impact of papers produced by Fei Long. 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 Fei Long. The network helps show where Fei Long may publish in the future.
Co-authorship network of co-authors of Fei Long
This figure shows the co-authorship network connecting the top 25 collaborators of Fei Long.
A scholar is included among the top collaborators of Fei Long based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Fei Long. Fei Long is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yamashita, Keitaro, Marcin Wojdyr, Fei Long, Robert A. Nicholls, & Garib N. Murshudov. (2023). GEMMI and Servalcat restrain REFMAC5. Acta Crystallographica Section D Structural Biology. 79(5). 368–373.20 indexed citations
4.
Xie, Jiangtao, Fei Long, Jiaming Lv, Qilong Wang, & Peihua Li. (2022). Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7962–7971.166 indexed citations breakdown →
Long, Fei, Robert A. Nicholls, Paul Emsley, et al.. (2017). AceDRG: a stereochemical description generator for ligands. Acta Crystallographica Section D Structural Biology. 73(2). 112–122.261 indexed citations breakdown →
8.
Amunts, Alexey, Alan Brown, Xiao‐chen Bai, et al.. (2014). Structure of the Yeast Mitochondrial Large Ribosomal Subunit. Science. 343(6178). 1485–1489.460 indexed citations breakdown →
9.
Brown, Alan, et al.. (2014). Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions. Acta Crystallographica Section D Biological Crystallography. 71(1). 136–153.457 indexed citations breakdown →
10.
Joosten, Robbie P., Fei Long, Garib N. Murshudov, & Anastassis Perrakis. (2014). ThePDB_REDOserver for macromolecular structure model optimization. IUCrJ. 1(4). 213–220.632 indexed citations breakdown →
11.
Nicholls, Robert A., Fei Long, & Garib N. Murshudov. (2012). Low-resolution refinement tools in REFMAC5. Acta Crystallographica Section D Biological Crystallography. 68(4). 404–417.193 indexed citations
12.
Murshudov, Garib N., Pavol Skubák, Andrey A. Lebedev, et al.. (2011). REFMAC5 for the refinement of macromolecular crystal structures. Acta Crystallographica Section D Biological Crystallography. 67(4). 355–367.6818 indexed citations breakdown →
13.
Keegan, Ronan M., Fei Long, Vincent Fazio, et al.. (2011). Evaluating the solution fromMrBUMPandBALBES. Acta Crystallographica Section D Biological Crystallography. 67(4). 313–323.21 indexed citations
Long, Fei, Alexei A. Vagin, Paul G. Young, & Garib N. Murshudov. (2007). BALBES: a molecular-replacement pipeline. Acta Crystallographica Section D Biological Crystallography. 64(1). 125–132.653 indexed citations breakdown →
Vagin, Alexei A., Roberto A. Steiner, Andrey A. Lebedev, et al.. (2004). REFMAC5 dictionary: organization of prior chemical knowledge and guidelines for its use. Acta Crystallographica Section D Biological Crystallography. 60(12). 2184–2195.1133 indexed citations breakdown →
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.