Weibo Ka

416 total citations
30 papers, 326 citations indexed

About

Weibo Ka is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Weibo Ka has authored 30 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 12 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Weibo Ka's work include Erythrocyte Function and Pathophysiology (15 papers), Blood properties and coagulation (10 papers) and Cell death mechanisms and regulation (7 papers). Weibo Ka is often cited by papers focused on Erythrocyte Function and Pathophysiology (15 papers), Blood properties and coagulation (10 papers) and Cell death mechanisms and regulation (7 papers). Weibo Ka collaborates with scholars based in China and United States. Weibo Ka's co-authors include Dagong Sun, Zongyao Wen, Weijuan Yao, Shu Chien, Li Gu, Shu Chien, Zhu Zeng, Zhiyu Tang, Dan Chen and Yuhui Jiang and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and Journal of Ethnopharmacology.

In The Last Decade

Weibo Ka

30 papers receiving 320 citations

Peers

Weibo Ka

PHYSI

PRM

IMMUN

ONCOL

Dagong Sun China

Moonsuk Choi United States

Hana Novotná Czechia

Tomohiro Kimura Japan

Yunshin Jung United States

Joel McCauley United States

И. В. Андрианова Russia

Yilan Song China

Qiaofang Yi United States

Christopher Rhodes United States

Dagong Sun China

Weibo Ka

123 ×1.1

124 ×1.4

PHYSI

116 ×1.4

PRM

80 ×1.0

IMMUN

45 ×1.1

ONCOL

Citations per year, relative to Weibo Ka Weibo Ka (= 1×) peers Dagong Sun

Countries citing papers authored by Weibo Ka

Since Specialization

Citations

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

Fields of papers citing papers by Weibo Ka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weibo Ka

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

All Works

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20 of 20 papers shown

Wang, Wenjun, Lijun Zhong, Wenxi Zhang, et al.. (2019). Quantitative proteomics reveals TMOD1-related proteins associated with water balance regulation. PLoS ONE. 14(7). e0219932–e0219932. 7 indexed citations

Wang, Xifu, Xiaolan Zhang, Dagong Sun, et al.. (2015). Fluid Shear Stress Upregulates E-Tmod41 via miR-23b-3p and Contributes to F-Actin Cytoskeleton Remodeling during Erythropoiesis. PLoS ONE. 10(8). e0136607–e0136607. 11 indexed citations

Song, Jian, Xifu Wang, Xiaoli Xu, et al.. (2014). The effects of non-ionic contrast medium on the hemorheology in vitro and in vivo. Clinical Hemorheology and Microcirculation. 58(3). 385–393. 4 indexed citations

He, Qingyuan, Hongbin Han, Lan Yuan, et al.. (2013). [Quantitative calculation of drugs distribution parameter in the brain extracellular space by using MRI tracer].. PubMed. 45(3). 469–73. 1 indexed citations

Chen, Xiaopeng, Xiaofeng Xu, Xianwei Wang, et al.. (2011). Knockdown of hTERT Alters Biophysical Properties of K562 Cells Resulting in Decreased Migration Rate In Vitro. Cell Biochemistry and Biophysics. 61(3). 595–603. 9 indexed citations

Chen, Dan, Xiaolan Zhang, Weibo Ka, et al.. (2011). Effects of Gekko Sulfated Polysaccharide–Protein Complex on the Defective Biorheological Characters of Dendritic Cells Under Tumor Microenvironment. Cell Biochemistry and Biophysics. 62(1). 193–201. 15 indexed citations

Xu, Xiaofeng, Zhu Zeng, Weijuan Yao, et al.. (2010). Biomechanical alterations of dendritic cells by co-culturing with K562 CML cells and their potential role in immune escape. Journal of Biomechanics. 43(12). 2339–2347. 9 indexed citations

Wang, Xianwei, Dan Chen, Xiaolan Zhang, et al.. (2010). Biorheological changes of dendritic cells at the different differentiation stages. Clinical Hemorheology and Microcirculation. 46(4). 265–273. 3 indexed citations

Chen, Dan, Weijuan Yao, Xiaolan Zhang, et al.. (2009). Effects of Gekko sulfated polysaccharide–protein complex on human hepatoma SMMC-7721 cells: Inhibition of proliferation and migration. Journal of Ethnopharmacology. 127(3). 702–708. 38 indexed citations

10.

Wang, Xianwei, Xi Chen, Zhiyu Tang, et al.. (2009). Ryanodine receptor 1 mediates Ca2+ transport and influences the biomechanical properties in RBCs. Journal of Biomechanics. 42(16). 2774–2779. 1 indexed citations

11.

Gu, Li, et al.. (2007). Effects of TFAR19 gene on the in vivo biorheological properties and pathogenicity of mouse erythroleukemia cell line MEL. Science in China Series C Life Sciences. 50(1). 111–119. 2 indexed citations

12.

Yao, Weijuan, Zhu Zeng, Xianwei Wang, et al.. (2007). Exogenous Wild‐Type p53 Gene Improved Survival of Nude Mice Injected with Murine Erythroleukemia Cell Line Through Amelioration of Hemorheological Changes. Microcirculation. 14(2). 155–166. 1 indexed citations

13.

Jiang, Yuhui, Kai Chen, Zhiyu Tang, et al.. (2006). TRAIL gene reorganizes the cytoskeleton and decreases the motility of human leukemic Jurkat cells. Cell Motility and the Cytoskeleton. 63(8). 471–482. 7 indexed citations

14.

Wang, Jinhua, Weibo Ka, Dagong Sun, et al.. (2006). Biochemical and Biophysical Studies on the Precursor Cells of Mouse Erythrocytes at Different Stages. Cell Biochemistry and Biophysics. 45(2). 147–156. 3 indexed citations

15.

Zeng, Zhu, Xiaofeng Xu, Yingyu Zhang, et al.. (2006). Tumor‐derived factors impaired motility and immune functions of dendritic cells through derangement of biophysical characteristics and reorganization of cytoskeleton. Cell Motility and the Cytoskeleton. 64(3). 186–198. 23 indexed citations

16.

Zeng, Zhu, Xiao Liu, Yuhui Jiang, et al.. (2006). Biophysical Studies on the Differentiation of Human CD14<sup>+</sup> Monocytes Into Dendritic Cells. Cell Biochemistry and Biophysics. 45(1). 19–30. 16 indexed citations

17.

Gu, Li, Yuhui Jiang, Ying Wang, et al.. (2005). TFAR19 Gene Changes the Biophysical Properties of Murine Erythroleukemia Cells. Cell Biochemistry and Biophysics. 43(3). 355–364. 11 indexed citations

18.

Jiang, Yuhui, Weijuan Yao, Li Gu, et al.. (2005). Studies on the biomechanical properties of maturing reticulocytes. Journal of Biomechanics. 39(3). 530–535. 14 indexed citations

19.

Yao, Weijuan, Li Gu, Dagong Sun, et al.. (2003). Wild type p53 gene causes reorganization of cytoskeleton and, therefore, the impaired deformability and difficult migration of murine erythroleukemia cells. Cell Motility and the Cytoskeleton. 56(1). 1–12. 29 indexed citations

20.

Yao, Weijuan, et al.. (2001). Low viscosity Ektacytometry and its validation tested by flow chamber. Journal of Biomechanics. 34(11). 1501–1509. 51 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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