Julian Pan

518 total citations
10 papers, 442 citations indexed

About

Julian Pan is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Julian Pan has authored 10 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Julian Pan's work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Virus-based gene therapy research (2 papers). Julian Pan is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Virus-based gene therapy research (2 papers). Julian Pan collaborates with scholars based in United States and China. Julian Pan's co-authors include Sherman M. Weissman, Bernard G. Forget, Francis S. Collins, James E. Metherall, Minoru Yamakawa, Jeffrey R. Bender, Wufang Fan, Chunyu Zhang, Mark Collinge and Hriday K. Das and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Julian Pan

10 papers receiving 426 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julian Pan United States 8 296 114 105 69 59 10 442
Lucienne Cicurel United States 9 223 0.8× 105 0.9× 194 1.8× 78 1.1× 75 1.3× 18 527
Lloyd Berger Canada 13 334 1.1× 38 0.3× 112 1.1× 59 0.9× 193 3.3× 19 547
Ali Aghajanirefah Netherlands 7 221 0.7× 111 1.0× 49 0.5× 56 0.8× 34 0.6× 11 366
Dianne Lumaquin United States 8 198 0.7× 81 0.7× 64 0.6× 68 1.0× 38 0.6× 10 300
J Robert-Lézénès France 12 245 0.8× 45 0.4× 69 0.7× 44 0.6× 67 1.1× 22 348
T Murate Japan 11 220 0.7× 99 0.9× 86 0.8× 30 0.4× 203 3.4× 15 468
T Moritz United States 7 350 1.2× 44 0.4× 72 0.7× 282 4.1× 108 1.8× 8 478
Sunmi Han South Korea 6 419 1.4× 29 0.3× 218 2.1× 39 0.6× 47 0.8× 15 617
Marianne Arnhold Germany 10 144 0.5× 64 0.6× 54 0.5× 32 0.5× 57 1.0× 19 372
Chiel Maas Netherlands 13 342 1.2× 20 0.2× 91 0.9× 46 0.7× 104 1.8× 14 444

Countries citing papers authored by Julian Pan

Since Specialization
Citations

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

Fields of papers citing papers by Julian Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Pan. A scholar is included among the top collaborators of Julian Pan 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 Julian Pan. Julian Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Pan, Julian, Chunyu Zhang, Wufang Fan, et al.. (1999). A MHC-encoded ubiquitin-like protein (FAT10) binds noncovalently to the spindle assembly checkpoint protein MAD2. Proceedings of the National Academy of Sciences. 96(8). 4313–4318. 148 indexed citations
3.
Chorney, Michael J., et al.. (1990). Transcription Analysis, Physical Mapping, and Molecular Characterization of a Nonclassical Human Leukocyte Antigen Class I Gene. Molecular and Cellular Biology. 10(1). 243–253. 11 indexed citations
4.
Rogan, Peter K., Julian Pan, & Sherman M. Weissman. (1987). L1 repeat elements in the human epsilon-G gamma-globin gene intergenic region: sequence analysis and concerted evolution within this family.. Molecular Biology and Evolution. 4(4). 327–42. 28 indexed citations
5.
Duceman, Barry W., Michael J. Chorney, Rohit Srivastava, et al.. (1986). HLA-JY328: Mapping studies and expression of a polymorphic HLA class I gene. Immunogenetics. 23(2). 90–99. 17 indexed citations
6.
Lawrance, Simon K., Hriday K. Das, Julian Pan, & Sherman M. Weissman. (1985). The genomic organisation and nucleotide sequence of the HLA-SB(DP) alpha gene. Nucleic Acids Research. 13(20). 7515–7528. 40 indexed citations
7.
Reddy, E Shyam P & Julian Pan. (1985). Molecular cloning and sequencing of H-2Kk cDNA: comparison with other H-2 genes and evidence for alternative splicing. Gene. 38(1-3). 239–244. 7 indexed citations
8.
Collins, Francis S., James E. Metherall, Minoru Yamakawa, et al.. (1985). A point mutation in the Aγ-globin gene promoter in Greek hereditary persistence of fetal haemoglobin. Nature. 313(6000). 325–326. 164 indexed citations
9.
Subramanian, K. N., P K Ghosh, Ravi Dhar, et al.. (1977). The Primary Structure of Regions of SV40 DNA Encoding the Ends of mRNA. Progress in nucleic acid research and molecular biology. 19. 157–164. 13 indexed citations
10.
Gill, P. Grantley & Julian Pan. (1970). Inhibition of cell division in L5178Y cells by arginine-degrading mycoplasmas: the role of arginine deiminase. Canadian Journal of Microbiology. 16(6). 415–419. 13 indexed citations

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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