Daniel M. Keller

456 total citations
11 papers, 224 citations indexed

About

Daniel M. Keller is a scholar working on Oncology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Daniel M. Keller has authored 11 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Daniel M. Keller's work include Metabolism and Genetic Disorders (3 papers), Immune Cell Function and Interaction (2 papers) and Cancer survivorship and care (1 paper). Daniel M. Keller is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Immune Cell Function and Interaction (2 papers) and Cancer survivorship and care (1 paper). Daniel M. Keller collaborates with scholars based in United States, Switzerland and Spain. Daniel M. Keller's co-authors include William D. Lotspeich, Scott L. Davis, Craig G. Crandall, David A. Low, Jian Cui, Philippa Marrack, J W Kappler, James E. Swierkosz, Schrier Rw and Alan Goldfien and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and The Journal of Physiology.

In The Last Decade

Daniel M. Keller

11 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Keller United States 7 70 65 60 47 39 11 224
M. Chen United States 5 118 1.7× 16 0.2× 17 0.3× 87 1.9× 6 0.2× 5 282
D. J. Pon Canada 10 110 1.6× 12 0.2× 44 0.7× 181 3.9× 4 0.1× 19 325
M.L.P. Brückwilder Netherlands 7 77 1.1× 68 1.0× 4 0.1× 242 5.1× 31 0.8× 9 352
Danielle R. Bruns United States 12 125 1.8× 96 1.5× 14 0.2× 209 4.4× 9 0.2× 35 416
Nikolas Dedousis United States 8 209 3.0× 26 0.4× 87 1.4× 81 1.7× 5 0.1× 8 411
Meimi Zhao China 12 30 0.4× 111 1.7× 15 0.3× 213 4.5× 6 0.2× 25 352
Lawrence O. Olala United States 9 34 0.5× 63 1.0× 29 0.5× 160 3.4× 11 0.3× 10 410
Cynthia J. Williams United States 6 97 1.4× 42 0.6× 3 0.1× 149 3.2× 10 0.3× 10 355
Nina Hollander United States 9 85 1.2× 26 0.4× 25 0.4× 101 2.1× 8 0.2× 18 317
Vasily V. Sinyov Russia 12 47 0.7× 37 0.6× 91 1.5× 345 7.3× 8 0.2× 49 453

Countries citing papers authored by Daniel M. Keller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Keller

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

All Works

11 of 11 papers shown
2.
Keller, Daniel M.. (2014). Biomarkers and Combination Therapies Called Next Big Steps in Melanoma Treatment. Oncology Times. 36(2). 24–25. 1 indexed citations
3.
Sevilla, A., et al.. (2007). Impairing and Monitoring Glucose Catabolite Repression in l‐Carnitine Biosynthesis. Biotechnology Progress. 23(6). 1286–1296. 4 indexed citations
4.
Keller, Daniel M., Jian Cui, Scott L. Davis, David A. Low, & Craig G. Crandall. (2006). Heat stress enhances arterial baroreflex control of muscle sympathetic nerve activity via increased sensitivity of burst gating, not burst area, in humans. The Journal of Physiology. 573(2). 445–451. 89 indexed citations
5.
Keller, Daniel M., James E. Swierkosz, Philippa Marrack, & J W Kappler. (1980). Two types of functionally distinct, synergizing helper T cells.. The Journal of Immunology. 124(3). 1350–1359. 64 indexed citations
6.
Marrack, Philippa, et al.. (1976). Characterization and mode of action of a nonspecific T-cell-derived helper mediator. Cellular Immunology. 27(2). 334–335. 1 indexed citations
7.
Keller, Daniel M., et al.. (1973). Mechanism of renal clearance of isoproterenol. American Journal of Physiology-Legacy Content. 224(4). 733–736. 7 indexed citations
8.
Keller, Daniel M.. (1965). An Enzymatic Method for Glucose Quantitation in Normal Urine. Clinical Chemistry. 11(4). 471–477. 6 indexed citations
9.
Keller, Daniel M. & William D. Lotspeich. (1959). Effect of Phlorizin on the Osmotic Behavior of Mitochondria in Isotonic Sucrose. Journal of Biological Chemistry. 234(4). 991–994. 22 indexed citations
10.
Keller, Daniel M. & William D. Lotspeich. (1959). Some Effects of Phlorizin on the Metabolism of Mitochondria. Journal of Biological Chemistry. 234(4). 987–990. 10 indexed citations
11.
Keller, Daniel M. & William D. Lotspeich. (1959). Phlorizin Inhibition of the Insulin Expansion of the Galactose Space in the Eviscerate Rat. Journal of Biological Chemistry. 234(4). 995–997. 12 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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