Defa Tian

598 total citations
10 papers, 501 citations indexed

About

Defa Tian is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Defa Tian has authored 10 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Defa Tian's work include Carcinogens and Genotoxicity Assessment (5 papers), Cancer-related Molecular Pathways (5 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Defa Tian is often cited by papers focused on Carcinogens and Genotoxicity Assessment (5 papers), Cancer-related Molecular Pathways (5 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Defa Tian collaborates with scholars based in United States, Germany and Canada. Defa Tian's co-authors include Judy L. Mumford, C. Clifford Conaway, Brian Pittman, Stephen S. Hecht, Edward J. McIntee, Fung‐Lung Chung, David M. DeMarini, Nancy M. Hanley, Marc J. Mass and Phouthone Keohavong and has published in prestigious journals such as Cancer Research, International Journal of Cancer and Toxicology.

In The Last Decade

Defa Tian

10 papers receiving 493 citations

Peers

Defa Tian

MB

CR

HTM

OC

EC

Lin Su China

Xianglin Shi United States

Feng‐Yuan Tsai Taiwan

Amy J. Warren United States

Wenwen Zheng China

Nancy M. Hanley United States

Deodutta Roy United States

Ma Aiguo China

Anna Kinoshita Japan

Caigao Zhong China

Lin Su China

Defa Tian

370 ×1.3

MB

102 ×0.8

CR

95 ×0.8

HTM

34 ×0.5

OC

94 ×1.7

EC

Citations per year, relative to Defa Tian Defa Tian (= 1×) peers Lin Su

Countries citing papers authored by Defa Tian

Since Specialization

Citations

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

Fields of papers citing papers by Defa Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Defa Tian

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

All Works

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10 of 10 papers shown

1.

Chen, Jinguo, Defa Tian, Duan‐Jun Tan, et al.. (2008). Toxicological analysis of low-nicotine and nicotine-free cigarettes. Toxicology. 249(2-3). 194–203. 34 indexed citations

2.

Conaway, C. Clifford, Brian Pittman, Defa Tian, et al.. (2005). Phenethyl Isothiocyanate and Sulforaphane and their N-Acetylcysteine Conjugates Inhibit Malignant Progression of Lung Adenomas Induced by Tobacco Carcinogens in A/J Mice. Cancer Research. 65(18). 8548–8557. 198 indexed citations

3.

Keohavong, Phouthone, Weimin Gao, David M. DeMarini, et al.. (2003). K-ras mutations in lung carcinomas from nonsmoking women exposed to unvented coal smoke in China11We dedicate this work to the late Dr Marc Mass who passed away during the preparation of this manuscript.. Lung Cancer. 41(1). 21–27. 27 indexed citations

4.

Lan, Qing, Defa Tian, Xingzhou He, et al.. (2001). p53 Gene Expression in Relation to Indoor Exposure to Unvented Coal Smoke in Xuan Wei, China. Journal of Occupational and Environmental Medicine. 43(3). 226–230. 19 indexed citations

5.

Tian, Defa, Yajuan Xia, X. Chris Le, et al.. (2001). ANALYSES OF MICRONUCLEI IN EXFOLIATED EPITHELIAL CELLS FROM INDIVIDUALS CHRONICALLY EXPOSED TO ARSENIC VIA DRINKING WATER IN INNER MONGOLIA, CHINA. Journal of Toxicology and Environmental Health. 64(6). 473–484. 56 indexed citations

6.

Xia, Yanfei, et al.. (2001). DNA damage in buccal epithelial cells from individuals chronically exposed to arsenic via drinking water in Inner Mongolia, China.. PubMed. 21(1A). 51–7. 34 indexed citations

7.

DeMarini, David M., Stefano Landi, Defa Tian, et al.. (2001). Lung tumor KRAS and TP53 mutations in nonsmokers reflect exposure to PAH-rich coal combustion emissions.. PubMed. 61(18). 6679–81. 90 indexed citations

8.

Zhang, Feng, Defa Tian, Qing Lan, & Judy L. Mumford. (2000). A sensitive immunofluorescence assay for detection of p53 protein accumulation in sputum.. PubMed. 19(5B). 3847–52. 4 indexed citations

9.

Mumford, Judy L., Defa Tian, M. Younes, et al.. (1999). Detection of p53 protein accumulation in sputum and lung adenocarcinoma associated with indoor exposure to unvented coal smoke in China.. PubMed. 19(2A). 951–8. 10 indexed citations

10.

Tian, Defa, et al.. (1998). Multifocal accumulation of p53 protein in esophageal carcinoma: Evidence for field cancerization. International Journal of Cancer. 78(5). 568–575. 29 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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