Zhi‐Bin Tong

1.5k total citations
22 papers, 1.1k citations indexed

About

Zhi‐Bin Tong is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, Zhi‐Bin Tong has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 8 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Zhi‐Bin Tong's work include Reproductive Biology and Fertility (10 papers), Reproductive System and Pregnancy (5 papers) and Pluripotent Stem Cells Research (4 papers). Zhi‐Bin Tong is often cited by papers focused on Reproductive Biology and Fertility (10 papers), Reproductive System and Pregnancy (5 papers) and Pluripotent Stem Cells Research (4 papers). Zhi‐Bin Tong collaborates with scholars based in United States, Cameroon and Italy. Zhi‐Bin Tong's co-authors include Lawrence M. Nelson, Jurrien Dean, Lyn Gold, Heidi Dorward, Carolyn A. Bondy, Karl Pfeifer, Eric Lee, Sophia Kalantaridou, David Gerhold and Somjate Manipalviratn and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Endocrinology.

In The Last Decade

Zhi‐Bin Tong

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhi‐Bin Tong United States 14 635 632 268 257 202 22 1.1k
Raffaella Rossetti Italy 17 859 1.4× 539 0.9× 481 1.8× 569 2.2× 121 0.6× 24 1.3k
Cecilia Cariño Mexico 10 641 1.0× 539 0.9× 348 1.3× 289 1.1× 127 0.6× 17 1.2k
David L’Hôte France 19 325 0.5× 504 0.8× 354 1.3× 412 1.6× 119 0.6× 33 1.0k
P. E. Høyer Denmark 15 237 0.4× 450 0.7× 193 0.7× 134 0.5× 68 0.3× 33 797
María Agustina Battistone United States 16 326 0.5× 426 0.7× 475 1.8× 113 0.4× 170 0.8× 31 1.0k
Jorge Sztein United States 18 462 0.7× 387 0.6× 348 1.3× 282 1.1× 146 0.7× 28 1.1k
Dulama Richani Australia 16 954 1.5× 506 0.8× 610 2.3× 136 0.5× 96 0.5× 27 1.2k
Lisa Cambridge New Zealand 10 741 1.2× 718 1.1× 223 0.8× 542 2.1× 162 0.8× 23 1.6k
Lucie Němcová Czechia 18 707 1.1× 447 0.7× 399 1.5× 182 0.7× 91 0.5× 50 969
Hongcui Zhao China 15 423 0.7× 387 0.6× 471 1.8× 97 0.4× 92 0.5× 29 875

Countries citing papers authored by Zhi‐Bin Tong

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Bin Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Bin Tong. 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 Zhi‐Bin Tong. The network helps show where Zhi‐Bin Tong may publish in the future.

Co-authorship network of co-authors of Zhi‐Bin Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Bin Tong. A scholar is included among the top collaborators of Zhi‐Bin Tong 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 Zhi‐Bin Tong. Zhi‐Bin Tong 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.
Tong, Zhi‐Bin, Srilatha Sakamuru, Jeffrey B. Travers, et al.. (2025). MT1G activation in dopaminergic neurons identifies chelators and their relationships to cytotoxicity. SLAS DISCOVERY. 35. 100244–100244.
2.
Tong, Zhi‐Bin, Ruili Huang, John Braisted, et al.. (2024). 3D-Suspension culture platform for high throughput screening of neurotoxic chemicals using LUHMES dopaminergic neurons. SLAS DISCOVERY. 29(3). 100143–100143. 3 indexed citations
3.
Tong, Zhi‐Bin, et al.. (2022). LUHMES Dopaminergic Neurons Are Uniquely Susceptible to Ferroptosis. Neurotoxicity Research. 40(5). 1526–1536. 17 indexed citations
4.
Tong, Zhi‐Bin, et al.. (2022). P450 Side-Chain Cleavage Enzyme (P450-SCC) Is an Ovarian Autoantigen in a Mouse Model for Autoimmune Oophoritis. Reproductive Sciences. 29(8). 2391–2400. 1 indexed citations
5.
Tong, Zhi‐Bin, John Braisted, Pei‐Hsuan Chu, & David Gerhold. (2020). The MT1G Gene in LUHMES Neurons Is a Sensitive Biomarker of Neurotoxicity. Neurotoxicity Research. 38(4). 967–978. 13 indexed citations
6.
Tong, Zhi‐Bin, Ruili Huang, Yuhong Wang, et al.. (2017). The Toxmatrix: Chemo-Genomic Profiling Identifies Interactions That Reveal Mechanisms of Toxicity. Chemical Research in Toxicology. 31(2). 127–136. 9 indexed citations
7.
Tong, Zhi‐Bin, Helena T. Högberg, David Kuo, et al.. (2016). Characterization of three human cell line models for high‐throughput neuronal cytotoxicity screening. Journal of Applied Toxicology. 37(2). 167–180. 49 indexed citations
8.
Fernandes, Roxanne, Taline Naranian, Jasmine Chong, et al.. (2012). NLRP5 Mediates Mitochondrial Function in Mouse Oocytes and Embryos1. Biology of Reproduction. 86(5). 138, 1–10. 68 indexed citations
9.
Otsuka, Noriyuki, et al.. (2011). Autoimmune Oophoritis with Multiple Molecular Targets Mitigated by Transgenic Expression of Mater. Endocrinology. 152(6). 2465–2473. 17 indexed citations
10.
Manipalviratn, Somjate, Zhi‐Bin Tong, Barbara J. Stegmann, et al.. (2010). Effect of vitrification and thawing on human oocyte ATP concentration. Fertility and Sterility. 95(5). 1839–1841. 51 indexed citations
11.
Vanderhoof, Vien H., et al.. (2006). Investigation of the human stem cell factor KIT ligand gene, KITLG, in women with 46,XX spontaneous premature ovarian failure. Fertility and Sterility. 85(5). 1502–1507. 11 indexed citations
12.
Gustofson, R.L., Zhi‐Bin Tong, F.W. Larsen, & Lawrence M. Nelson. (2005). Women Who Meet the Clinical Characteristics of a Maternal Effect Gene Defect Have a Higher Incidence of Unexplained Infertility. Fertility and Sterility. 84. S140–S140. 1 indexed citations
13.
Tong, Zhi‐Bin, Lyn Gold, Anto De Pol, et al.. (2003). Developmental Expression and Subcellular Localization of Mouse MATER, an Oocyte-Specific Protein Essential for Early Development. Endocrinology. 145(3). 1427–1434. 79 indexed citations
14.
15.
Tong, Zhi‐Bin, et al.. (2002). Investigation of KIT gene mutations in women with 46,XX spontaneous premature ovarian failure. BMC Women s Health. 2(1). 8–8. 15 indexed citations
16.
Tong, Zhi‐Bin. (2002). A human homologue of mouse Mater, a maternal effect gene essential for early embryonic development. Human Reproduction. 17(4). 903–911. 81 indexed citations
17.
Tong, Zhi‐Bin, Lyn Gold, Karl Pfeifer, et al.. (2000). Mater, a maternal effect gene required for early embryonic development in mice. Nature Genetics. 26(3). 267–268. 447 indexed citations
18.
Tong, Zhi‐Bin, Lawrence M. Nelson, & Jurrien Dean. (2000). Mater encodes a maternal protein in mice with a leucine-rich repeat domain homologous to porcine ribonuclease inhibitor. Mammalian Genome. 11(4). 281–287. 63 indexed citations
19.
Tong, Zhi‐Bin. (1999). A Mouse Gene Encoding an Oocyte Antigen Associated with Autoimmune Premature Ovarian Failure. Endocrinology. 140(8). 3720–3726. 16 indexed citations
20.
Tong, Zhi‐Bin, Lawrence M. Nelson, & Jurrien Dean. (1995). Inhibition of Zona Pellucida Gene Expression by Antisense Oligonucleotides Injected Into Mouse Oocytes. Journal of Biological Chemistry. 270(2). 849–853. 43 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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