Alexander Nakeff

1.2k total citations
56 papers, 936 citations indexed

About

Alexander Nakeff is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Alexander Nakeff has authored 56 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Hematology and 12 papers in Immunology. Recurrent topics in Alexander Nakeff's work include Hematopoietic Stem Cell Transplantation (10 papers), Platelet Disorders and Treatments (10 papers) and Immune Cell Function and Interaction (9 papers). Alexander Nakeff is often cited by papers focused on Hematopoietic Stem Cell Transplantation (10 papers), Platelet Disorders and Treatments (10 papers) and Immune Cell Function and Interaction (9 papers). Alexander Nakeff collaborates with scholars based in United States, Netherlands and United Kingdom. Alexander Nakeff's co-authors include Susan Daniels-McQueen, Klaus Pantel, Balanehru Subramanian, B. Maat, Paul J. Smith, James Watson, Sandra A. Rempel, William Golembieski, Michael D. Maile and James L. Fisher and has published in prestigious journals such as The Journal of Cell Biology, Blood and The Journal of Immunology.

In The Last Decade

Alexander Nakeff

54 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Nakeff United States 17 389 326 157 134 127 56 936
Stephen H. Robinson United States 23 302 0.8× 510 1.6× 110 0.7× 100 0.7× 91 0.7× 51 1.2k
Seiichiro Tarui Japan 17 278 0.7× 523 1.6× 375 2.4× 118 0.9× 57 0.4× 40 1.3k
Tetsuo Nishiura Japan 22 341 0.9× 640 2.0× 384 2.4× 165 1.2× 44 0.3× 44 1.2k
Shalini Verma United States 11 421 1.1× 553 1.7× 251 1.6× 227 1.7× 76 0.6× 15 1.2k
Jun Mori United Kingdom 16 529 1.4× 370 1.1× 305 1.9× 123 0.9× 76 0.6× 18 1.1k
R Zeheb United States 9 283 0.7× 514 1.6× 65 0.4× 331 2.5× 103 0.8× 9 1.1k
RG Smith United States 14 350 0.9× 415 1.3× 185 1.2× 159 1.2× 50 0.4× 22 1.2k
Michelle L. Kraus United States 7 145 0.4× 466 1.4× 101 0.6× 447 3.3× 124 1.0× 9 1.1k
Orlando J. Martelo United States 16 148 0.4× 306 0.9× 51 0.3× 129 1.0× 135 1.1× 36 727
John D. Kulman United States 16 481 1.2× 276 0.8× 181 1.2× 36 0.3× 80 0.6× 27 1.0k

Countries citing papers authored by Alexander Nakeff

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Nakeff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Nakeff

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Nakeff. A scholar is included among the top collaborators of Alexander Nakeff 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 Alexander Nakeff. Alexander Nakeff 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.
Sankey, Steadman S., et al.. (2003). SPARC affects glioma cell growth differently when grown on brain ECMproteins in vitro under standard versus reduced-serum stress conditions. Neuro-Oncology. 5(4). 244–254. 11 indexed citations
2.
Subramanian, Balanehru, Alexander Nakeff, Joseph Media, Mark P. Wentland, & Frederick A. Valeriote. (2002). Cellular drug action profile paradigm applied to XK469. PubMed. 2(5). 253–263. 4 indexed citations
3.
Subramanian, Balanehru, Alexander Nakeff, Joseph Media, Richard Wiegand, & Frederick A. Valeriote. (2002). Inhibition of macromolecular synthesis by cryptophycin-52. Anti-Cancer Drugs. 13(10). 1061–1068. 3 indexed citations
4.
5.
Lin, Hong, et al.. (2001). Mitotic arrest induced by XK469, a novel antitumor agent, is correlated with the inhibition of cyclin B1 ubiquitination. International Journal of Cancer. 97(1). 121–128. 32 indexed citations
6.
Rempel, Sandra A., William Golembieski, James L. Fisher, Michael D. Maile, & Alexander Nakeff. (2001). SPARC Modulates Cell Growth, Attachment and Migration of U87 Glioma Cells on Brain Extracellular Matrix Proteins. Journal of Neuro-Oncology. 53(2). 149–160. 89 indexed citations
7.
KuKuruga, Mark, et al.. (1998). Flow Cytometric Analysis of DNA Damage in Nucleoids from Cultured Human Breast Epithelial Cells Treated With Hydrogen Peroxide. Free Radical Biology and Medicine. 24(2). 326–331. 1 indexed citations
8.
Nakeff, Alexander, Mark KuKuruga, Joseph Media, Frederick A. Valeriote, & Mark Edelstein. (1996). Quantitative measurements of the efficacy of new anti-cancer agents on fresh human AML cells by using multivariate flow analysis.. PubMed. 1(6). 361–7. 1 indexed citations
9.
Scheding, Stefan, et al.. (1994). Effects of rhG‐CSF, 5‐fluorouracil and extramedullary irradiation on murine megakaryocytopoiesis in vivo. British Journal of Haematology. 88(4). 699–705. 7 indexed citations
10.
Redman, Bruce G., et al.. (1991). Sequential Dacarbazine/Cisplatin and Interleukin-2 in Metastatic Melanoma. Journal of Immunotherapy. 10(2). 147–151. 18 indexed citations
11.
Pantel, Klaus, et al.. (1991). Identification of the c-kit ligand: end of the road for understanding aplastic anemia in steel mutant mice?. Blood. 78(6). 1428–1431. 3 indexed citations
12.
Pantel, Klaus, et al.. (1990). Stem cell recovery from cyclophosphamide‐induced myelosuppression requires the presence of CD4+ cells. British Journal of Haematology. 75(2). 168–174. 6 indexed citations
13.
Abdallah, J. M., Mark KuKuruga, Alexander Nakeff, & Ananda S. Prasad. (1988). Cell cycle distribution defect in PHA‐stimulated T lymphocytes of sickle cell disease patients. American Journal of Hematology. 28(4). 279–281. 15 indexed citations
14.
Nakeff, Alexander. (1987). Multivectorial Analysis of Megakaryocytic Differentiationa. Annals of the New York Academy of Sciences. 509(1). 41–48.
15.
Watson, James, Alexander Nakeff, S H Chambers, & Paul J. Smith. (1985). Flow cytometric fluorescence emission spectrum analysis of hoechst‐33342‐stained DNA in chicken thymocytes. Cytometry. 6(4). 310–315. 37 indexed citations
16.
17.
Nakeff, Alexander, et al.. (1982). Aspirin inhibits rat megakaryocyte thromboxane synthesis. Prostaglandins. 23(6). 841–853. 15 indexed citations
18.
Nakeff, Alexander, et al.. (1978). Effect of a transplantable leukemia on hematopoietic stem cells in AKR mice.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 62(5). 737–41. 3 indexed citations
19.
Nakeff, Alexander & K. J. Roozendaal. (1975). Thrombopoietin Activity in Mice Following Immune-Induced Thrombocytopenia. Acta Haematologica. 54(6). 340–344. 16 indexed citations
20.
Nakeff, Alexander & M. Ingram. (1970). Platelet count: volume relationships in four mammalian species. Journal of Applied Physiology. 28(4). 530–533. 34 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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