D M Nikoloff

1.3k total citations
10 papers, 1.1k citations indexed

About

D M Nikoloff is a scholar working on Pharmacology, Genetics and Molecular Biology. According to data from OpenAlex, D M Nikoloff has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in D M Nikoloff's work include Pharmacogenetics and Drug Metabolism (5 papers), Estrogen and related hormone effects (4 papers) and Inflammatory mediators and NSAID effects (2 papers). D M Nikoloff is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Estrogen and related hormone effects (4 papers) and Inflammatory mediators and NSAID effects (2 papers). D M Nikoloff collaborates with scholars based in United States, Switzerland and South Korea. D M Nikoloff's co-authors include Susan A. Henry, Zereunesay Desta, Brant R. Ward, L LI, Anne Nguyen, Todd C. Skaar, Yan Jin, A. M. Storniolo, Lijun Wu and Martha Ladner and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Cancer.

In The Last Decade

D M Nikoloff

10 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D M Nikoloff United States	8	527	482	331	296	190	10	1.1k
G I Murray United Kingdom	18	404 0.8×	160 0.3×	525 1.6×	493 1.7×	62 0.3×	25	1.2k
Steven S. Chua United States	16	413 0.8×	293 0.6×	663 2.0×	662 2.2×	37 0.2×	29	1.6k
Pia Wegman Sweden	10	313 0.6×	334 0.7×	207 0.6×	281 0.9×	99 0.5×	14	635
Aileen McLaren United Kingdom	16	678 1.3×	123 0.3×	605 1.8×	396 1.3×	58 0.3×	26	1.3k
Morio Umeno United States	7	694 1.3×	99 0.2×	381 1.2×	345 1.2×	59 0.3×	9	1.0k
Qi-Hui Gong United States	9	282 0.5×	153 0.3×	589 1.8×	161 0.5×	41 0.2×	10	962
E Lundqvist Sweden	6	390 0.7×	86 0.2×	235 0.7×	358 1.2×	68 0.4×	7	774
Ming‐Derg Lai Taiwan	22	226 0.4×	71 0.1×	597 1.8×	352 1.2×	84 0.4×	48	1.3k
Shazia Ali United States	9	169 0.3×	134 0.3×	259 0.8×	216 0.7×	53 0.3×	15	756
Michael A. Shirley United States	15	80 0.2×	241 0.5×	684 2.1×	204 0.7×	102 0.5×	22	1.1k

Countries citing papers authored by D M Nikoloff

Since Specialization

Citations

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

Fields of papers citing papers by D M Nikoloff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D M Nikoloff. 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 D M Nikoloff. The network helps show where D M Nikoloff may publish in the future.

Co-authorship network of co-authors of D M Nikoloff

This figure shows the co-authorship network connecting the top 25 collaborators of D M Nikoloff. A scholar is included among the top collaborators of D M Nikoloff 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 D M Nikoloff. D M Nikoloff 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.

Broglio, Kristine, Lajos Pusztai, D M Nikoloff, et al.. (2011). Effect of CYP2D6 polymorphisms on breast cancer recurrence. Cancer. 118(5). 1221–1227. 20 indexed citations

2.

Madlensky, Lisa, Loki Natarajan, Simone Tchu, et al.. (2011). Tamoxifen Metabolite Concentrations, CYP2D6 Genotype, and Breast Cancer Outcomes. Clinical Pharmacology & Therapeutics. 89(5). 718–725. 246 indexed citations

3.

Madlensky, Lisa, Loki Natarajan, D M Nikoloff, et al.. (2009). Hot flashes are associated with CYP2D6 genotype in breast cancer survivors taking tamoxifen.. Cancer Research. 69(2_Supplement). 6045–6045. 5 indexed citations

4.

Nikoloff, D M, et al.. (2006). CYP2D6 genetic variation in healthy adults and psychiatric African-American subjects: implications for clinical practice and genetic testing. The Pharmacogenomics Journal. 6(5). 343–350. 74 indexed citations

5.

Desta, Zereunesay, L LI, Todd C. Skaar, et al.. (2006). Quantitative effect of CYP2D6 genotype and inhibitors on tamoxifen metabolism: Implication for optimization of breast cancer treatment. Clinical Pharmacology & Therapeutics. 80(1). 61–74. 371 indexed citations

6.

Nikoloff, D M, Nancy Patten, Bonnie A. Fijal, et al.. (2002). Association between CYP2D6 genotype and tardive dyskinesia in Korean schizophrenics. The Pharmacogenomics Journal. 2(6). 400–407. 27 indexed citations

7.

Nikoloff, D M & Susan A. Henry. (1994). Functional characterization of the INO2 gene of Saccharomyces cerevisiae. A positive regulator of phospholipid biosynthesis.. Journal of Biological Chemistry. 269(10). 7402–7411. 57 indexed citations

8.

Nikoloff, D M & Susan A. Henry. (1991). GENETIC ANALYSIS OF YEAST PHOSPHOLIPID BIOSYNTHESIS. Annual Review of Genetics. 25(1). 559–559. 49 indexed citations

9.

Nikoloff, D M. (1991). Genetic Analysis Of Yeast Phospholipid Biosynthesis. Annual Review of Genetics. 25(1). 559–583. 1 indexed citations

10.

Ladner, Martha, George A. Martin, Janelle A. Noble, et al.. (1987). Human CSF-1: gene structure and alternative splicing of mRNA precursors.. The EMBO Journal. 6(9). 2693–2698. 210 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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