Liu Ka

715 total citations
28 papers, 521 citations indexed

About

Liu Ka is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Liu Ka has authored 28 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Surgery. Recurrent topics in Liu Ka's work include Pancreatitis Pathology and Treatment (4 papers), Immune Cell Function and Interaction (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Liu Ka is often cited by papers focused on Pancreatitis Pathology and Treatment (4 papers), Immune Cell Function and Interaction (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Liu Ka collaborates with scholars based in China, United States and New Zealand. Liu Ka's co-authors include Z. Runlin, Olga Dakhova, Tali Raveh-Sadka, Barbara Savoldo, Cynthia Chauvin, Erica J. Di Pierro, Simon N. Robinson, Ho Ngai, Amy N. Courtney and Gianpietro Dotti and has published in prestigious journals such as Nature Medicine, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Liu Ka

28 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liu Ka China	10	220	180	180	113	86	28	521
Heidrun Ullrich Germany	12	126 0.6×	170 0.9×	249 1.4×	46 0.4×	38 0.4×	22	586
Johannes P. van Netten Canada	9	227 1.0×	167 0.9×	199 1.1×	175 1.5×	84 1.0×	17	655
Marta Monteiro Portugal	15	116 0.5×	208 1.2×	444 2.5×	50 0.4×	54 0.6×	23	750
Seok‐Ho Kim South Korea	13	179 0.8×	239 1.3×	302 1.7×	50 0.4×	75 0.9×	21	621
Marco Craveiro United States	10	150 0.7×	261 1.4×	500 2.8×	82 0.7×	172 2.0×	15	830
Michela Riba Italy	14	120 0.5×	252 1.4×	161 0.9×	86 0.8×	44 0.5×	25	504
Rihao Qu United States	11	81 0.4×	351 1.9×	199 1.1×	35 0.3×	137 1.6×	23	661
Monika Jurkowska Poland	15	123 0.6×	155 0.9×	208 1.2×	41 0.4×	44 0.5×	27	569
Martina Klünemann Germany	5	126 0.6×	446 2.5×	108 0.6×	44 0.4×	111 1.3×	9	687
Michael Slade United States	15	212 1.0×	90 0.5×	157 0.9×	31 0.3×	28 0.3×	54	670

Countries citing papers authored by Liu Ka

Since Specialization

Citations

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

Fields of papers citing papers by Liu Ka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Ka

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Ka. A scholar is included among the top collaborators of Liu 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 Liu Ka. Liu 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

Heczey, Andras, Amy N. Courtney, Antonino Montalbano, et al.. (2020). Anti-GD2 CAR-NKT cells in patients with relapsed or refractory neuroblastoma: an interim analysis. Nature Medicine. 26(11). 1686–1690. 201 indexed citations

Yu, Peter Paul, Liu Ka, Harry Karmouty‐Quintana, et al.. (2018). Transforming Growth Factor-β and Bone Morphogenetic Protein 2 Regulation of MicroRNA-200 Family in Chronic Pancreatitis. Pancreas. 47(2). 252–256. 7 indexed citations

Pan, Pan, Siwen Kang, Youwei Wang, et al.. (2017). Black Raspberries Enhance Natural Killer Cell Infiltration into the Colon and Suppress the Progression of Colorectal Cancer. Frontiers in Immunology. 8. 997–997. 38 indexed citations

Lin, Chin‐Yo, Erica L. Kleinbrink, Fabien Dachet, et al.. (2016). Primate-specific oestrogen-responsive long non-coding RNAs regulate proliferation and viability of human breast cancer cells. Open Biology. 6(12). 150262–150262. 10 indexed citations

Ka, Liu. (2015). Changes of peripheral blood lymphocyte subsets in patients with nasopharyngeal carcinoma before and after radiotherapy. Xinjiang Yike Daxue xuebao. 1 indexed citations

Ka, Liu. (2015). A Weibo Bot-users Indentification Model Based on Random Forest. Beijing Daxue xuebao. Ziran kexue ban. 2 indexed citations

Ka, Liu. (2015). Regime Shift of Winter North Pacific Sea Surface Temperature after 1990 and Its Possible Causes. Chinese Journal of Atmospheric Sciences. 3 indexed citations

Staloch, Dustin, Liu Ka, Meihua Xu, et al.. (2015). Gremlin is a key pro-fibrogenic factor in chronic pancreatitis. Journal of Molecular Medicine. 93(10). 1085–1093. 41 indexed citations

Ka, Liu. (2014). On the Spatial Granularity of Geographical Information. Geography and Geo-Information Science. 1 indexed citations

10.

Ka, Liu. (2014). Named Entity Extraction of Traditional Chinese Medicine Medical Records Based on Conditional Random Field. Jisuanji gongcheng. 3 indexed citations

11.

Rodríguez, Melissa, Warren Fiskus, Sunil Sharma, et al.. (2014). Abstract 1721: BRD4 antagonist-based therapy exerts lethal activity against FLT3 mutation expressing AML cells resistant to FLT3 tyrosine kinase inhibitors. Cancer Research. 74(19_Supplement). 1721–1721. 1 indexed citations

12.

Ka, Liu. (2013). Research progress of the treatment of regional osteoporosis with BMSCs transplantation. Chinese Journal of Osteoporosis. 1 indexed citations

13.

Chen, Lei, Liu Ka, Zongsheng Zhao, et al.. (2012). Identification of Sheep Ovary Genes Potentially Associated with Off-season Reproduction. Journal of genetics and genomics. 39(4). 181–190. 23 indexed citations

14.

Li, Gang, Liu Ka, Shasha Jiao, et al.. (2012). A physical map of a BAC clone contig covering the entire autosome insertion between ovine MHC Class IIa and IIb. BMC Genomics. 13(1). 398–398. 7 indexed citations

15.

Gao, Jianfeng, Liu Ka, Haibo Liu, et al.. (2010). A complete DNA sequence map of the ovine Major Histocompatibility Complex. BMC Genomics. 11(1). 466–466. 30 indexed citations

16.

Yin, Jingdong, Wei Li, Liu Ka, et al.. (2009). Construction of a bacterial artificial chromosome library for the Rongchang pig breed and its use for the identification of genes involved in intramuscular fat deposition. Biochemical and Biophysical Research Communications. 391(2). 1280–1284. 7 indexed citations

17.

Zhang, Xiaojuan, Zhi Qi, Gang Sun, et al.. (2009). Cloning and Characterization of a Calcium-Activated Chloride Channel in Rat Uterus1. Biology of Reproduction. 80(4). 788–794. 13 indexed citations

18.

Ka, Liu. (2008). Application and Development of Vibration and Noise Suppression Technology for Torpedo. 1 indexed citations

19.

Hong, Wei, et al.. (2008). A murine model for human immune thrombocytopenic purpura and comparative analysis of multiple gene expression in bone marrow and spleen. Journal of genetics and genomics. 35(11). 665–671. 3 indexed citations

20.

Liu, Haibo, Liu Ka, Jinfu Wang, & Z. Runlin. (2006). A BAC clone-based physical map of ovine major histocompatibility complex. Genomics. 88(1). 88–95. 22 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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