Hong Ni

508 total citations
18 papers, 369 citations indexed

About

Hong Ni is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Hong Ni has authored 18 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Oncology. Recurrent topics in Hong Ni's work include Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers) and Immune Cell Function and Interaction (2 papers). Hong Ni is often cited by papers focused on Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers) and Immune Cell Function and Interaction (2 papers). Hong Ni collaborates with scholars based in United States, China and United Kingdom. Hong Ni's co-authors include Katrina Diener, Xuhong Sunny Wang, Zhengbin Yao, Lawrence Yoon, Kevin T. Morgan, Warren Casey, Roger H. Brown, Richard C. Boucher, Theodore Friedmann and John C. Olsen and has published in prestigious journals such as Journal of Virology, Biochemical and Biophysical Research Communications and Environmental Health Perspectives.

In The Last Decade

Hong Ni

18 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Ni United States	9	244	41	41	38	35	18	369
Patrik Strömberg Sweden	13	185 0.8×	36 0.9×	44 1.1×	34 0.9×	22 0.6×	20	456
R. Magesh India	10	200 0.8×	28 0.7×	16 0.4×	31 0.8×	22 0.6×	19	315
Eun-Kyung Kim South Korea	10	227 0.9×	44 1.1×	31 0.8×	49 1.3×	21 0.6×	11	328
Claude Souvignet France	12	206 0.8×	40 1.0×	129 3.1×	30 0.8×	26 0.7×	21	472
Ally Perlina United States	10	261 1.1×	56 1.4×	21 0.5×	99 2.6×	20 0.6×	11	427
Jonathan Mélius Netherlands	3	218 0.9×	22 0.5×	17 0.4×	47 1.2×	38 1.1×	3	321
Jérôme Célérier France	14	248 1.0×	40 1.0×	15 0.4×	53 1.4×	82 2.3×	14	527
Jialin Shang China	7	225 0.9×	55 1.3×	51 1.2×	33 0.9×	9 0.3×	12	397
Farisa Syeda Canada	7	236 1.0×	36 0.9×	15 0.4×	37 1.0×	39 1.1×	9	377
Jacek Kabziński Poland	12	217 0.9×	60 1.5×	43 1.0×	69 1.8×	14 0.4×	26	351

Countries citing papers authored by Hong Ni

Since Specialization

Citations

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

Fields of papers citing papers by Hong Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ni

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

All Works

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18 of 18 papers shown

Song, Yansu, et al.. (2010). Prokaryotic expression of cp genes from Apple stem grooving virus and production of antisera against recombinant coat proteins.. Guoshu xuebao. 27(5). 752–756. 1 indexed citations

Crosby, Lynn M., Tanya Moore, Michael H. George, et al.. (2010). Transformation of SV40-immortalized human uroepithelial cells by 3-methylcholanthrene increases IFN- and Large T Antigen-induced transcripts. Cancer Cell International. 10(1). 4–4. 5 indexed citations

Crosby, Lynn M., Warren Casey, Kevin T. Morgan, et al.. (2010). Murine J774 macrophages recognize LPS/IFN-g, non-CpG DNA or two-CpG DNA-containing sequences as immunologically distinct. Nitric Oxide. 22(3). 242–257. 4 indexed citations

Crosby, Lynn M., et al.. (2010). Correction: Transformation of SV40-immortalized human uroepithelial cells by 3-methylcholanthrene increases IFN- and Large T Antigen-induced transcripts. Cancer Cell International. 10(1). 10–10. 1 indexed citations

Ni, Hong. (2009). Application of Simplicity-based Envelope Extraction in Heart Sound Segmentation. Journal of Biomedical Engineering Research. 1 indexed citations

Cariello, Neal F., Elizabeth H. Romach, Heidi M. Colton, et al.. (2005). Gene Expression Profiling of the PPAR-alpha Agonist Ciprofibrate in the Cynomolgus Monkey Liver. Toxicological Sciences. 88(1). 250–264. 65 indexed citations

Wang, Juan, Hong Ni, Li Chen, et al.. (2005). Preparation and analysis of cSNP chip on hepatocellular carcinoma-related genes.. PubMed. 4(3). 398–402. 5 indexed citations

Wang, Guangliang, et al.. (2005). [Investigation on the molecular mechanisms of anti-hepatocarcinoma herbs of traditional Chinese medicine by cell cycle microarray].. PubMed. 30(1). 50–4. 9 indexed citations

Baker, V.A, Hong Ni, Robert A. Jolly, et al.. (2004). Clofibrate-induced gene expression changes in rat liver: a cross-laboratory analysis using membrane cDNA arrays.. Environmental Health Perspectives. 112(4). 428–438. 47 indexed citations

10.

Ni, Hong, et al.. (2004). [Detection of differentially expressed genes in hepatocellularcarcinoma cells SMMC-7721 treated with Typhonium giganteum extract by mRNA differential display].. PubMed. 29(10). 974–7. 4 indexed citations

11.

Ni, Hong, et al.. (2003). The inhibition effects of typhonium giganteum engl. on hepatocarcinoma cell. 25(3). 185–188. 3 indexed citations

12.

Morgan, Kevin T., Warren Casey, Hong Ni, et al.. (2003). Frequent Sampling Reveals Dynamic Responses by the Transcriptome to Routine Media Replacement in HepG2 Cells. Toxicologic Pathology. 31(4). 448–461. 10 indexed citations

13.

Morgan, Kevin T., H. Roger Brown, Lynn M. Crosby, et al.. (2002). Toxicogenomics and Human Disease Risk Assessment. Human and Ecological Risk Assessment An International Journal. 8(6). 1339–1353. 3 indexed citations

14.

Boorman, Gary A., Steven P. Anderson, Warren Casey, et al.. (2002). Toxicogenomics, Drug Discovery, and the Pathologist. Toxicologic Pathology. 30(1). 15–27. 35 indexed citations

15.

Brown, H. Roger, Hong Ni, Lawrence Yoon, et al.. (2002). Correlation of Simultaneous Differential Gene Expression in the Blood and Heart with Known Mechanisms of Adriamycin-Induced Cardiomyopathy in the Rat. Toxicologic Pathology. 30(4). 452–469. 40 indexed citations

16.

Ni, Hong, Xudong Yang, & Christian J. Stoeckert. (1999). Maturation and developmental stage-related changes in fetal globin gene expression are reproduced in transiently transfected primary adult human erythroblasts. Experimental Hematology. 27(1). 46–53. 9 indexed citations

17.

Johnson, Larry G., et al.. (1998). Effect of Host Modification and Age on Airway Epithelial Gene Transfer Mediated by a Murine Leukemia Virus-Derived Vector. Journal of Virology. 72(11). 8861–8872. 40 indexed citations

18.

Ni, Hong, Xuhong Sunny Wang, Katrina Diener, & Zhengbin Yao. (1998). MAPKAPK5, a Novel Mitogen-Activated Protein Kinase (MAPK)-Activated Protein Kinase, Is a Substrate of the Extracellular-Regulated Kinase (ERK) and p38 Kinase. Biochemical and Biophysical Research Communications. 243(2). 492–496. 87 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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