S J James

2.1k total citations
22 papers, 1.7k citations indexed

About

S J James is a scholar working on Molecular Biology, Rheumatology and Oncology. According to data from OpenAlex, S J James has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Rheumatology and 4 papers in Oncology. Recurrent topics in S J James's work include Folate and B Vitamins Research (11 papers), Epigenetics and DNA Methylation (6 papers) and DNA Repair Mechanisms (4 papers). S J James is often cited by papers focused on Folate and B Vitamins Research (11 papers), Epigenetics and DNA Methylation (6 papers) and DNA Repair Mechanisms (4 papers). S J James collaborates with scholars based in United States, Germany and Canada. S J James's co-authors include Igor P. Pogribny, Levan Muskhelishvili, Bárbara Miller, R. Jean Hine, Marta Pogribna, Ping Yi, Lionel A. Poirier, David W. Gaylor, Alexei G. Basnakian and Nadejda Lopatina and has published in prestigious journals such as American Journal of Clinical Nutrition, Oncogene and Environmental Health Perspectives.

In The Last Decade

S J James

22 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S J James United States 18 925 796 424 211 211 22 1.7k
Kyoung‐Jin Sohn Canada 23 945 1.0× 668 0.8× 357 0.8× 226 1.1× 162 0.8× 37 1.6k
M. M. Mack United States 10 888 1.0× 690 0.9× 172 0.4× 186 0.9× 115 0.5× 16 1.5k
Elisabeth Widén Finland 22 363 0.4× 922 1.2× 149 0.4× 625 3.0× 543 2.6× 29 2.5k
Michèle Pfister France 15 386 0.4× 249 0.3× 119 0.3× 177 0.8× 85 0.4× 25 918
Karen E. Christensen Canada 15 496 0.5× 401 0.5× 206 0.5× 82 0.4× 88 0.4× 32 844
Zoubida Karim France 31 219 0.2× 1.3k 1.6× 258 0.6× 127 0.6× 155 0.7× 70 2.3k
Kazumichi Furuyama Japan 25 293 0.3× 1.4k 1.8× 307 0.7× 40 0.2× 103 0.5× 68 1.8k
S. M. Joubert South Africa 21 107 0.1× 439 0.6× 264 0.6× 69 0.3× 189 0.9× 63 1.3k
Nuri Çakır Türkiye 21 280 0.3× 255 0.3× 67 0.2× 113 0.5× 100 0.5× 58 1.4k
Silvio Zaina Mexico 25 127 0.1× 1.1k 1.4× 257 0.6× 184 0.9× 324 1.5× 63 1.8k

Countries citing papers authored by S J James

Since Specialization
Citations

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

Fields of papers citing papers by S J James

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S J James. 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 S J James. The network helps show where S J James may publish in the future.

Co-authorship network of co-authors of S J James

This figure shows the co-authorship network connecting the top 25 collaborators of S J James. A scholar is included among the top collaborators of S J James 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 S J James. S J James 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.
Dash, Radha Charan, S J James, Marcello Stanzione, et al.. (2024). Lead compound profiling for small molecule inhibitors of the REV1-CT/RIR Translesion synthesis Protein-Protein interaction. Bioorganic & Medicinal Chemistry. 106. 117755–117755. 3 indexed citations
2.
Nijhout, H. Frederik, Michael C. Reed, David F. Anderson, et al.. (2006). Long-Range Allosteric Interactions between the Folate and Methionine Cycles Stabilize DNA Methylation Reaction Rate. Epigenetics. 1(2). 81–87. 68 indexed citations
3.
Motiwala, Tasneem, Kalpana Ghoshal, Anindita Das, et al.. (2003). Suppression of the protein tyrosine phosphatase receptor type O gene (PTPRO) by methylation in hepatocellular carcinomas. Oncogene. 22(41). 6319–6331. 89 indexed citations
5.
Hobbs, Charlotte A., Ping Yi, Sarah Hopkins, et al.. (2000). Polymorphisms in Genes Involved in Folate Metabolism as Maternal Risk Factors for Down Syndrome. The American Journal of Human Genetics. 67(3). 623–630. 282 indexed citations
6.
Pipkin, James L., William G. Hinson, S J James, et al.. (1999). The relationship of p53 and stress proteins in response to bleomycin and retinoic acid in the p53 heterozygous mouse. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1450(2). 164–176. 1 indexed citations
7.
James, S J, Marta Pogribna, Igor P. Pogribny, et al.. (1999). Abnormal folate metabolism and mutation in the methylenetetrahydrofolate reductase gene may be maternal risk factors for Down syndrome. American Journal of Clinical Nutrition. 70(4). 495–501. 342 indexed citations
8.
James, S J, Levan Muskhelishvili, David W. Gaylor, Angelo Turturro, & Ronald W. Hart. (1998). Upregulation of apoptosis with dietary restriction: implications for carcinogenesis and aging.. Environmental Health Perspectives. 106(suppl 1). 307–312. 53 indexed citations
9.
Pipkin, James L., William G. Hinson, S J James, et al.. (1997). p53 synthesis and phosphorylation in the aging diet-restricted rat following retinoic acid administration. Mechanisms of Ageing and Development. 97(1). 15–34. 7 indexed citations
10.
11.
Pogribny, Igor P., Lionel A. Poirier, & S J James. (1995). Differential sensitivity to loss of cytosine methyl groups within the hepatic p53 gene of folate/methyl deficient rats. Carcinogenesis. 16(11). 2863–2867. 42 indexed citations
12.
Pogribny, Igor P., Alexei G. Basnakian, Bárbara Miller, et al.. (1995). Breaks in genomic DNA and within the p53 gene are associated with hypomethylation in livers of folate/methyl-deficient rats.. PubMed. 55(9). 1894–901. 245 indexed citations
13.
Muskhelishvili, Levan, Ronald W. Hart, Angelo Turturro, & S J James. (1995). Age-related changes in the intrinsic rate of apoptosis in livers of diet-restricted and ad libitum-fed B6C3F1 mice.. PubMed. 147(1). 20–4. 75 indexed citations
14.
James, S J, Bárbara Miller, Lynda J. McGarrity, & S.M. Morris. (1994). The effect of folic acid and/or methionine deficiency on deoxyribonucleotide pools and cell cycle distribution in mitogen‐stimulated rat lymphocytes. Cell Proliferation. 27(7). 395–406. 27 indexed citations
15.
James, S J, et al.. (1993). The essentiality of folate for the maintenance of deoxynucleotide precursor pools, DNA synthesis, and cell cycle progression in PHA-stimulated lymphocytes.. Environmental Health Perspectives. 101(suppl 5). 173–178. 28 indexed citations
16.
17.
Miller, Bárbara, et al.. (1993). A simplified HPLC method for simultaneously quantifying ribonucleotides and deoxyribonucleotides in cell extracts or frozen tissues. Cell Proliferation. 26(4). 327–336. 32 indexed citations
18.
James, S J, et al.. (1992). Alterations in nucleotide pools in rats fed diets deficient in choline, methionine and/or folic acid. Carcinogenesis. 13(12). 2471–2474. 70 indexed citations
19.
James, S J, Lei Yin, & Marian E. Swendseid. (1989). DNA Strand Break Accumulation, Thymidylate Synthesis and NAD Levels in Lymphocytes from Methyl Donor-Deficient Rats. Journal of Nutrition. 119(4). 661–664. 20 indexed citations
20.
James, S J & Larry Yin. (1989). Diet-induced DNA damage and altered nucleotide metabolism in lymphocytes from methyl-donor-deficient rats. Carcinogenesis. 10(7). 1209–1214. 55 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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