Zai‐Si Ji

582 total citations
20 papers, 463 citations indexed

About

Zai‐Si Ji is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Zai‐Si Ji has authored 20 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Reproductive Medicine. Recurrent topics in Zai‐Si Ji's work include Reproductive Biology and Fertility (5 papers), Probiotics and Fermented Foods (5 papers) and Sperm and Testicular Function (5 papers). Zai‐Si Ji is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Probiotics and Fermented Foods (5 papers) and Sperm and Testicular Function (5 papers). Zai‐Si Ji collaborates with scholars based in Japan, China and United States. Zai‐Si Ji's co-authors include Shin‐ichi Abé, Huajun Zheng, Kaoru Kubokawa, Fen Yang, Yuezhu Wang, Hong Liang, Maohua Miao, Wei Yuan, Dekun Li and Luyi Ye and has published in prestigious journals such as PLoS ONE, Gene and Journal of Food Science.

In The Last Decade

Zai‐Si Ji

20 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zai‐Si Ji Japan 11 223 121 86 80 70 20 463
Erick J. R. Silva Brazil 16 217 1.0× 311 2.6× 38 0.4× 142 1.8× 99 1.4× 37 755
Zhengxing Lian China 14 199 0.9× 187 1.5× 31 0.4× 175 2.2× 93 1.3× 37 785
Fanny Aprahamian France 10 579 2.6× 48 0.4× 69 0.8× 67 0.8× 48 0.7× 16 867
Tai Zhang China 13 167 0.7× 48 0.4× 56 0.7× 93 1.2× 19 0.3× 45 598
Shingo Matsuki Japan 10 190 0.9× 279 2.3× 9 0.1× 151 1.9× 49 0.7× 23 625
Aimée Sarah Lee Caldwell Australia 6 153 0.7× 488 4.0× 35 0.4× 325 4.1× 57 0.8× 7 971
Alexandra Bukovská Slovakia 7 219 1.0× 27 0.2× 91 1.1× 58 0.7× 54 0.8× 8 532
David A. Landry Canada 10 135 0.6× 105 0.9× 35 0.4× 69 0.9× 35 0.5× 19 456
Shuangyi Zhang China 14 193 0.9× 32 0.3× 18 0.2× 22 0.3× 45 0.6× 50 517
Longfei Xiao China 15 236 1.1× 179 1.5× 22 0.3× 102 1.3× 77 1.1× 71 712

Countries citing papers authored by Zai‐Si Ji

Since Specialization
Citations

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

Fields of papers citing papers by Zai‐Si Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zai‐Si Ji. 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 Zai‐Si Ji. The network helps show where Zai‐Si Ji may publish in the future.

Co-authorship network of co-authors of Zai‐Si Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Zai‐Si Ji. A scholar is included among the top collaborators of Zai‐Si Ji 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 Zai‐Si Ji. Zai‐Si Ji 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.
Wang, Yuzhu, et al.. (2023). Antitumor activity of a whey peptide‐based enteral diet in C26 colon tumor‐bearing mice. Journal of Food Science. 88(10). 4275–4288. 3 indexed citations
2.
Zhang, Fan, et al.. (2023). Relationship between tumor microbiota transcriptional activity and gene expression in breast cancer. BMC Cancer. 23(1). 252–252. 9 indexed citations
3.
Asami, Yukio, et al.. (2021). Effects of Nelumbo nucifera Leaf Extract on Obesity. Plant Foods for Human Nutrition. 76(3). 377–384. 8 indexed citations
4.
Ye, Luyi, et al.. (2021). Fat reducing effects of Nelumbo nucifera leaf extract in overweight patients. Natural Product Research. 36(18). 4770–4775. 3 indexed citations
5.
Zheng, Huajun, Tao Shi, Luyi Ye, et al.. (2016). Relationship between Lactobacillus bulgaricus and Streptococcus thermophilus under whey conditions: Focus on amino acid formation. International Dairy Journal. 56. 141–150. 34 indexed citations
6.
Zheng, Huajun, Hong Liang, Yuezhu Wang, et al.. (2016). Altered Gut Microbiota Composition Associated with Eczema in Infants. PLoS ONE. 11(11). e0166026–e0166026. 130 indexed citations
7.
Zheng, Huajun, et al.. (2015). Strand-specific RNA-seq analysis of the Lactobacillus delbrueckii subsp. bulgaricus transcriptome. Molecular BioSystems. 12(2). 508–519. 16 indexed citations
8.
Zheng, Huajun, Masatoshi Tsukahara, Luyi Ye, et al.. (2014). The Novel Helicase helG ( DHX30 ) Is Expressed During Gastrulation in Mice and Has a Structure Similar to a Human DExH Box Helicase. Stem Cells and Development. 24(3). 372–383. 13 indexed citations
9.
Zheng, Huajun, Pei Hao, Luyi Ye, et al.. (2013). Acquisition of amino acids by Lactobacillus delbrueckii subsp. bulgaricus 2038 when grown in the presence of casein. International Dairy Journal. 35(2). 145–152. 6 indexed citations
10.
Mukai, Rie, Kyuichi Kawabata, Akari Ishisaka, et al.. (2012). Effect of quercetin and its glucuronide metabolite upon 6-hydorxydopamine-induced oxidative damage in Neuro-2a cells. Free Radical Research. 46(8). 1019–1028. 31 indexed citations
13.
H, Ito, Masayuki Uchida, Toshihiro Sashihara, et al.. (2010). Lactobacillus gasseri OLL2809 is effective especially on the menstrual pain and dysmenorrhea in endometriosis patients: randomized, double-blind, placebo-controlled study. Cytotechnology. 63(2). 153–161. 48 indexed citations
14.
Tsukahara, Masatoshi, et al.. (2001). A novel putative transmembrane protein, IZP6, is expressed in neural cells during embryogenesis. Development Growth & Differentiation. 43(3). 285–293. 3 indexed citations
15.
Tsukahara, Masatoshi, et al.. (2000). Novel nucleolar protein, midnolin, is expressed in the mesencephalon during mouse development. Gene. 254(1-2). 45–55. 34 indexed citations
16.
Ji, Zai‐Si, Kaoru Kubokawa, & Shin‐ichi Abé. (1995). Promotion of differentiation of newt primary spermatocytes into spermatids by mammalian FSH via Sertoli cells. Journal of Experimental Zoology. 272(5). 374–383. 18 indexed citations
17.
Ji, Zai‐Si, et al.. (1995). Proliferation of newt spermatogonia by mammalian FSH via Sertoli cells in vitro. Journal of Experimental Zoology. 272(5). 363–373. 25 indexed citations
18.
Abé, Shin‐ichi & Zai‐Si Ji. (1994). Initiation and stimulation of spermatogenesis in vitro by mammalian follicle-stimulating hormone in the Japanese newt, Cynops pyrrhogaster. The International Journal of Developmental Biology. 38(2). 201–208. 35 indexed citations
19.
Ji, Zai‐Si, et al.. (1994). Differentiation of Primary Spermatocytes to Elongated Spermatids by Mammalian FSH in Organ Culture of Testes Fragments from the Newt, Cynops pyrrhogaster. Development Growth & Differentiation. 36(5). 445–455. 4 indexed citations
20.
Ji, Zai‐Si, Kaoru Kubokawa, Susumu Ishii, & Shin‐ichi Abé. (1992). Differentiation of Secondary Spermatogonia to Primary Spermatocytes by Mammalian Follicle‐Stimulating Hormone in Organ Culture of Testes Fragments from the Newt, Cynops pyrrhogaster. Development Growth & Differentiation. 34(6). 649–660. 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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