Hangjun Zhan

1.3k total citations
19 papers, 999 citations indexed

About

Hangjun Zhan is a scholar working on Immunology, Molecular Biology and Biotechnology. According to data from OpenAlex, Hangjun Zhan has authored 19 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Biotechnology. Recurrent topics in Hangjun Zhan's work include Toxin Mechanisms and Immunotoxins (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Transgenic Plants and Applications (4 papers). Hangjun Zhan is often cited by papers focused on Toxin Mechanisms and Immunotoxins (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Transgenic Plants and Applications (4 papers). Hangjun Zhan collaborates with scholars based in United States, Hungary and China. Hangjun Zhan's co-authors include R. John Collier, David J. Matthews, Kyoung Joon Oh, Wayne L. Hubbell, Can Cui, Janet C. Cheetham, Scott W. Reid, Kenneth H. Aoki, Karen Sitney and B.A. Katz and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Hangjun Zhan

18 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hangjun Zhan United States 12 515 373 181 172 143 19 999
Charles S. Craik United States 15 574 1.1× 245 0.7× 70 0.4× 179 1.0× 65 0.5× 16 1.0k
J.P. Priestle Switzerland 10 603 1.2× 210 0.6× 176 1.0× 137 0.8× 60 0.4× 15 1.0k
Erhard Kopetzki Germany 21 574 1.1× 98 0.3× 239 1.3× 120 0.7× 76 0.5× 29 1.1k
Kazuhito Ohishi Japan 20 979 1.9× 419 1.1× 77 0.4× 212 1.2× 66 0.5× 30 1.7k
Albert Boosman United States 11 589 1.1× 339 0.9× 143 0.8× 271 1.6× 53 0.4× 13 1.1k
Mark Egerton Australia 19 1.3k 2.5× 732 2.0× 166 0.9× 428 2.5× 64 0.4× 23 2.2k
Mayumi Ishihara United States 18 728 1.4× 185 0.5× 63 0.3× 66 0.4× 50 0.3× 35 1.1k
Teruhiro Utsugi Japan 20 1.2k 2.3× 445 1.2× 99 0.5× 423 2.5× 57 0.4× 85 1.8k
R. Michael Sramkoski United States 23 842 1.6× 405 1.1× 102 0.6× 294 1.7× 37 0.3× 42 1.6k
C. Kempf Switzerland 9 378 0.7× 128 0.3× 188 1.0× 89 0.5× 33 0.2× 11 773

Countries citing papers authored by Hangjun Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Hangjun Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hangjun Zhan

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

All Works

19 of 19 papers shown
1.
2.
Wang, Qiuwang & Hangjun Zhan. (2016). PICTURING FRAILTY: THE DEVELOPMENT OF THE PICTORIAL FIT-FRAIL SCALE. The Gerontologist. 56(Suppl_3). 318–318. 1 indexed citations
3.
Somoza, John R., Hangjun Zhan, Krista K. Bowman, et al.. (2001). Crystal Structure of Human Cathepsin V. Biochemistry. 40(13). 4200–4200. 1 indexed citations
4.
Bowman, Krista K., et al.. (2000). Expression, Purification, and Characterization of Deglycosylated Human Pro-Prostate-Specific Antigen. Protein Expression and Purification. 20(3). 405–413. 6 indexed citations
5.
Somoza, John R., Hangjun Zhan, Krista K. Bowman, et al.. (2000). Crystal Structure of Human Cathepsin V,. Biochemistry. 39(41). 12543–12551. 56 indexed citations
6.
Zhan, Hangjun. (1999). A method for quick measurement of protein binding to unilamellar vesicles. Journal of Biochemical and Biophysical Methods. 41(1). 13–19. 2 indexed citations
7.
Zhan, Hangjun, Beishan Liu, Scott W. Reid, et al.. (1999). Engineering a soluble extracellular erythropoietin receptor (EPObp) in Pichia pastoris to eliminate microheterogeneity, and its complex with erythropoietin. Protein Engineering Design and Selection. 12(6). 505–513. 16 indexed citations
8.
Oh, Kyoung Joon, Hangjun Zhan, Can Cui, et al.. (1999). Conformation of the Diphtheria Toxin T Domain in Membranes:  A Site-Directed Spin-Labeling Study of the TH8 Helix and TL5 Loop. Biochemistry. 38(32). 10336–10343. 30 indexed citations
9.
Hou, Jinzhao & Hangjun Zhan. (1998). EXPRESSION OF ACTIVE THROMBOPOIETIN AND IDENTIFICATION OF ITS KEY RESIDUES RESPONSIBLE FOR RECEPTOR BINDING. Cytokine. 10(5). 319–330. 6 indexed citations
10.
Syed, Rashid, Scott W. Reid, Janet C. Cheetham, et al.. (1998). Efficiency of signalling through cytokine receptors depends critically on receptor orientation. Nature. 395(6701). 511–516. 438 indexed citations
11.
Young, Dennis C., et al.. (1997). Characterization of the receptor binding determinants of granulocyte colony stimulating factor. Protein Science. 6(6). 1228–1236. 36 indexed citations
12.
Young, Dennis C., et al.. (1997). Characterization of the receptor binding determinants of granulocyte colony stimulating factor. Protein Science. 6(8). 1787–1787. 2 indexed citations
13.
Huynh, Paul D., Can Cui, Hangjun Zhan, et al.. (1997). Probing the Structure of the Diphtheria Toxin Channel. The Journal of General Physiology. 110(3). 229–242. 48 indexed citations
14.
Wang, Yang, et al.. (1997). Identification of Shallow and Deep Membrane-penetrating Forms of Diphtheria Toxin T Domain That Are Regulated by Protein Concentration and Bilayer Width. Journal of Biological Chemistry. 272(40). 25091–25098. 63 indexed citations
15.
Schneider, Helmut, Warak Chaovapong, David J. Matthews, et al.. (1997). Homodimerization of Erythropoietin Receptor by a Bivalent Monoclonal Antibody Triggers Cell Proliferation and Differentiation of Erythroid Precursors. Blood. 89(2). 473–482. 71 indexed citations
16.
Oh, Kyoung Joon, Hangjun Zhan, Can Cui, et al.. (1996). Organization of Diphtheria Toxin T Domain in Bilayers: A Site-Directed Spin Labeling Study. Science. 273(5276). 810–812. 98 indexed citations
17.
Zhan, Hangjun, Kyoung Joon Oh, Yeon‐Kyun Shin, Wayne L. Hubbell, & R. John Collier. (1995). Interaction of the Isolated Transmembrane Domain of Diphtheria Toxin with Membranes. Biochemistry. 34(14). 4856–4863. 52 indexed citations
18.
Zhan, Hangjun, Senyon Choe, Paul D. Huynh, et al.. (1994). Dynamic Transitions of the Transmembrane Domain of Diphtheria Toxin: Disulfide Trapping and Fluorescence Proximity Studies. Biochemistry. 33(37). 11254–11263. 54 indexed citations
19.
Levery, Steven B., et al.. (1991). Structural analysis of a second acidic exopolysaccharide of Rhizobium meliloti that can function in alfalfa root nodule invasion. Carbohydrate Research. 210. 339–347. 19 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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