Anping Ni

469 total citations
20 papers, 324 citations indexed

About

Anping Ni is a scholar working on Epidemiology, Infectious Diseases and Hematology. According to data from OpenAlex, Anping Ni has authored 20 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Infectious Diseases and 5 papers in Hematology. Recurrent topics in Anping Ni's work include Blood groups and transfusion (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Reproductive tract infections research (3 papers). Anping Ni is often cited by papers focused on Blood groups and transfusion (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Reproductive tract infections research (3 papers). Anping Ni collaborates with scholars based in China, Australia and Hong Kong. Anping Ni's co-authors include Ying Fan, Wei Cui, Wei Wu, Wenjuan Yan, Qiaofeng Wang, Weihong Zhang, Wenjing Liu, Baoxing Fan, Chengyu Jiang and Hongbo Hu and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and JAIDS Journal of Acquired Immune Deficiency Syndromes.

In The Last Decade

Anping Ni

18 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anping Ni China 8 204 79 53 50 47 20 324
Marinella Portolani Italy 13 151 0.7× 245 3.1× 55 1.0× 21 0.4× 76 1.6× 28 478
Yan‐Mei Jiao China 13 164 0.8× 94 1.2× 167 3.2× 37 0.7× 83 1.8× 48 425
Kiran Iqbal Masood Pakistan 8 182 0.9× 68 0.9× 47 0.9× 17 0.3× 49 1.0× 23 264
Stefanie Marx Germany 8 257 1.3× 38 0.5× 62 1.2× 19 0.4× 57 1.2× 12 338
Paige M Mortimer United Kingdom 6 185 0.9× 59 0.7× 63 1.2× 41 0.8× 62 1.3× 7 335
Parisa Shiri Aghbash Iran 11 191 0.9× 132 1.7× 82 1.5× 67 1.3× 103 2.2× 31 410
Sandra Hauka Germany 5 406 2.0× 35 0.4× 39 0.7× 42 0.8× 61 1.3× 7 473
Fatima Barmania South Africa 4 192 0.9× 26 0.3× 74 1.4× 27 0.5× 67 1.4× 5 298
Pinkus Tober‐Lau Germany 11 429 2.1× 70 0.9× 72 1.4× 56 1.1× 158 3.4× 27 581
Shahzma Merani United States 7 70 0.3× 142 1.8× 156 2.9× 12 0.2× 64 1.4× 9 345

Countries citing papers authored by Anping Ni

Since Specialization
Citations

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

Fields of papers citing papers by Anping Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anping Ni

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

All Works

20 of 20 papers shown
1.
Liu, Yali, Rui Ding, Xinmiao Jia, et al.. (2022). Correlation of Moraxella catarrhalis macrolide susceptibility with the ability to adhere and invade human respiratory epithelial cells. Emerging Microbes & Infections. 11(1). 2055–2068. 8 indexed citations
2.
Zhang, Wei‐Hong, et al.. (2020). Hepatitis B virus serological screen in a general hospital in Beijing from 2008 to 2018, and challenges to our vaccination policy. Vaccine X. 4. 100057–100057. 3 indexed citations
3.
Yan, Wenjuan, et al.. (2019). Cytomegalovirus antigenemia in patients with autoimmune and non-autoimmune diseases in Beijing: A 10−year single hospital experience. PLoS ONE. 14(8). e0221793–e0221793. 9 indexed citations
4.
Yan, Wenjuan, et al.. (2018). Anti-Epstein–Barr virus antibodies in Beijing during 2013–2017: What we have found in the different patients. PLoS ONE. 13(3). e0193171–e0193171. 29 indexed citations
5.
Ni, Anping, et al.. (2018). Landscape of PD-1/PD-L1 Regulation and Targeted Immunotherapy. Chinese Medical Sciences Journal. 33(3). 174–182. 18 indexed citations
6.
Yan, Wenjuan, et al.. (2018). A retrospective seroepidemiologic survey of Chlamydia pneumoniae infection in patients in Beijing between 2008 and 2017. PLoS ONE. 13(11). e0206995–e0206995. 7 indexed citations
7.
Ni, Anping, et al.. (2018). Chimeric antigen receptor-T cell, a novel player in anti-tumor treatment. Translational Cancer Research. 7(4). 1143–1150. 1 indexed citations
8.
Wang, Yao, et al.. (2017). Comparison of Four Rapid Diagnostic Kits of Immunochromatography for Detection of Influenza A and Influenza B Viruses. 6(3). 31–35. 1 indexed citations
9.
Wang, Shujun, Yaling Dou, Hong Yang, et al.. (2017). Alteration of glucocorticoid receptors and exacerbation of inflammation during lytic cytomegalovirus infection in THP‐1 cells. FEBS Open Bio. 7(12). 1924–1931. 9 indexed citations
10.
Ma, Liangkun, et al.. (2016). TORCH serologic screening in fertile women and infants and its clinical values from 2008 to 2015. Zhonghua jianyan yixue zazhi. 39(4). 281–285. 1 indexed citations
12.
Yan, Wenjuan, et al.. (2014). [Detection of serum Chlamydia pneumoniae antibodies and analysis of epidemiologic data in 5 years].. PubMed. 94(12). 919–23.
13.
Ni, Anping, Lingjun Kong, Wenjuan Yan, et al.. (2012). [Analysis of cytomegaloviral antigenemia test and re-test after antiviral chemotherapy in patients with autoimmune and non-autoimmune diseases].. PubMed. 92(34). 2426–9. 1 indexed citations
14.
Hu, Hongbo, Li Li, Richard Yi Tsun Kao, et al.. (2005). Screening and Identification of Linear B-Cell Epitopes and Entry-Blocking Peptide of Severe Acute Respiratory Syndrome (SARS)-Associated Coronavirus Using Synthetic Overlapping Peptide Library. Journal of Combinatorial Chemistry. 7(5). 648–656. 61 indexed citations
15.
Liu, Zhongjuan, et al.. (2004). [Detection of eotaxin and its clinical diagnosis value in patients with bronchial asthma].. PubMed. 26(3). 298–301. 1 indexed citations
16.
Cui, Wei, et al.. (2003). Expression of Lymphocytes and Lymphocyte Subsets in Patients with Severe Acute Respiratory Syndrome. Clinical Infectious Diseases. 37(6). 857–859. 134 indexed citations
17.
Liu, Yong, Zhong Wang, Yajun Deng, et al.. (2003). [Reliability of detecting SARS-CoV antibody for diagnosis of SARS].. PubMed. 25(5). 539–41. 1 indexed citations
18.
Feng, Tao, et al.. (2003). Distribution of the CCR5 Gene 32-Base Pair Deletion and CCR5 Expression in Chinese Minorities. JAIDS Journal of Acquired Immune Deficiency Syndromes. 32(2). 131–134. 7 indexed citations
19.
Wang, Xiurong, et al.. (2002). [The role of nutritional status on serum immunoglobulins, body weight and postoperative infectious-related complications in patients with Crohn's disease receiving perioperative parenteral nutrition].. PubMed. 24(2). 181–4. 1 indexed citations
20.
Ni, Anping, et al.. (1996). A Seroepidemiologic Study of Chlamydia pneumoniae, Chlamydia trachomatis and Chlamydia psittaci in Different Populations on the Mainland of China. Scandinavian Journal of Infectious Diseases. 28(6). 553–557. 27 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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