Shuwei Jiang

1.5k total citations
18 papers, 1.1k citations indexed

About

Shuwei Jiang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Shuwei Jiang has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Shuwei Jiang's work include Cell death mechanisms and regulation (6 papers), RNA Interference and Gene Delivery (4 papers) and Immune Cell Function and Interaction (4 papers). Shuwei Jiang is often cited by papers focused on Cell death mechanisms and regulation (6 papers), RNA Interference and Gene Delivery (4 papers) and Immune Cell Function and Interaction (4 papers). Shuwei Jiang collaborates with scholars based in United States, Germany and Australia. Shuwei Jiang's co-authors include Michael Andreeff, Abul K. Abbas, Shourong Zhao, Ritsuko Ehama, Lin Wu, Jiro Kishimoto, Robert E. Burgeson, Arlene H. Sharpe, Jens G. Lohr and Birgit Knoechel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Shuwei Jiang

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuwei Jiang United States 15 439 284 211 151 142 18 1.1k
Gopalakrishnan M. Venkataraman United States 13 289 0.7× 226 0.8× 178 0.8× 51 0.3× 29 0.2× 19 891
Bernd Algermissen Germany 14 262 0.6× 457 1.6× 240 1.1× 53 0.4× 72 0.5× 26 956
Madeleine Duvic United States 18 305 0.7× 558 2.0× 191 0.9× 81 0.5× 125 0.9× 30 1.5k
Ludwik K. Trejdosiewicz United Kingdom 16 472 1.1× 247 0.9× 155 0.7× 19 0.1× 239 1.7× 29 1.2k
Zelmira Lazarova United States 23 181 0.4× 125 0.4× 75 0.4× 125 0.8× 58 0.4× 38 1.4k
Melanie Mumau United States 8 638 1.5× 139 0.5× 228 1.1× 109 0.7× 27 0.2× 19 1.2k
Aline B. Scandurro United States 15 470 1.1× 344 1.2× 241 1.1× 100 0.7× 49 0.3× 20 1.3k
Akitomo Miyamoto Japan 14 557 1.3× 773 2.7× 456 2.2× 65 0.4× 46 0.3× 20 1.5k
Michael Kasperkiewicz Germany 27 330 0.8× 332 1.2× 48 0.2× 335 2.2× 30 0.2× 80 2.5k
S. M. Krane United States 10 265 0.6× 433 1.5× 175 0.8× 60 0.4× 19 0.1× 15 1.1k

Countries citing papers authored by Shuwei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shuwei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuwei Jiang

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

All Works

18 of 18 papers shown
1.
Villarino, Alejandro V., Shoshana D. Katzman, Eugenio Gallo, et al.. (2011). Posttranscriptional Silencing of Effector Cytokine mRNA Underlies the Anergic Phenotype of Self-Reactive T Cells. Immunity. 34(1). 50–60. 51 indexed citations
2.
Kim, Kevin K., Gregory Dolganov, Xiaohui Fang, et al.. (2011). Alveolar epithelial cells express mesenchymal proteins in patients with idiopathic pulmonary fibrosis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 301(1). L71–L78. 138 indexed citations
3.
Mamchak, Alusha A., Christine B.F. Thien, Julia Lyandres, et al.. (2009). Unaltered negative selection and Treg development of self‐reactive thymocytes in TCR transgenic Fyn‐deficient mice. European Journal of Immunology. 40(2). 539–547. 2 indexed citations
4.
Lohr, Jens G., Birgit Knoechel, Shuwei Jiang, Arlene H. Sharpe, & Abul K. Abbas. (2003). The inhibitory function of B7 costimulators in T cell responses to foreign and self-antigens. Nature Immunology. 4(7). 664–669. 148 indexed citations
5.
Konopleva, Marina, Shourong Zhao, Wei Hu, et al.. (2002). The anti‐apoptotic genes Bcl‐XL and Bcl‐2 are over‐expressed and contribute to chemoresistance of non‐proliferating leukaemic CD34+ cells. British Journal of Haematology. 118(2). 521–534. 128 indexed citations
6.
Gisslinger, Heinz, Razelle Kurzrock, Bettina Gisslinger, et al.. (2001). Autocrine cell suicide in a Burkitt lymphoma cell line (Daudi) induced by interferon α: involvement of tumor necrosis factor as ligand for the CD95 receptor. Blood. 97(9). 2791–2797. 16 indexed citations
7.
8.
Engel, Heike, Johannes Drach, Afsaneh Keyhani, et al.. (1999). Quantitation of minimal residual disease in acute myelogenous leukemia and myelodysplastic syndromes in complete remission by molecular cytogenetics of progenitor cells. Leukemia. 13(4). 568–577. 25 indexed citations
9.
Kishimoto, Jiro, et al.. (1999). Selective activation of the versican promoter by epithelial– mesenchymal interactions during hair follicle development. Proceedings of the National Academy of Sciences. 96(13). 7336–7341. 187 indexed citations
10.
Konopleva, Marina, Adel A. Mikhail, Zeev Estrov, et al.. (1999). Expression and Function of Leptin Receptor Isoforms in Myeloid Leukemia and Myelodysplastic Syndromes: Proliferative and Anti-Apoptotic Activities. Blood. 93(5). 1668–1676. 146 indexed citations
11.
Konopleva, Marina, Adel A. Mikhail, Zeev Estrov, et al.. (1999). Expression and Function of Leptin Receptor Isoforms in Myeloid Leukemia and Myelodysplastic Syndromes: Proliferative and Anti-Apoptotic Activities. Blood. 93(5). 1668–1676. 58 indexed citations
12.
Munker, Reinhold, Shourong Zhao, Shuwei Jiang, et al.. (1998). Further characterization of cyclophosphamide resistance: expression of CD95 and of bcl-2 in a CML cell line. Leukemia Research. 22(11). 1073–1077. 6 indexed citations
13.
14.
Jiang, Shuwei, Reinhold Munker, & Michael Andreeff. (1998). Bcl-2 is expressed in human natural killer cells and is regulated by interleukin-2.. PubMed. 15(6). 312–7. 8 indexed citations
15.
Munker, Reinhold, F. Marini, Shuwei Jiang, et al.. (1997). Expression of CD95(Fas) by gene transfer does not sensitize K562 to Fas-killing. PubMed. 39(2). 75–78. 21 indexed citations
16.
Engel, Heike, Angela Goodacre, Afsaneh Keyhani, et al.. (1997). Minimal residual disease in acute myelogenous leukaemia and myelodysplastic syndromes: a follow‐up of patients in clinical remission. British Journal of Haematology. 99(1). 64–75. 20 indexed citations
17.
Winter, JN, Janet Andersen, Daina Variakojis, et al.. (1996). Prognostic implications of ploidy and proliferative activity in the diffuse, aggressive non-Hodgkin's lymphomas. Blood. 88(10). 3919–3925. 15 indexed citations
18.
Sun, Dandan, Shuwei Jiang, Lan Zheng, David M. Ojcius, & J D Young. (1994). Separate metabolic pathways leading to DNA fragmentation and apoptotic chromatin condensation.. The Journal of Experimental Medicine. 179(2). 559–568. 83 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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