Nancy M. Lee

2.4k total citations
69 papers, 2.0k citations indexed

About

Nancy M. Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Nancy M. Lee has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 45 papers in Cellular and Molecular Neuroscience and 16 papers in Physiology. Recurrent topics in Nancy M. Lee's work include Neuropeptides and Animal Physiology (38 papers), Receptor Mechanisms and Signaling (22 papers) and Pain Mechanisms and Treatments (15 papers). Nancy M. Lee is often cited by papers focused on Neuropeptides and Animal Physiology (38 papers), Receptor Mechanisms and Signaling (22 papers) and Pain Mechanisms and Treatments (15 papers). Nancy M. Lee collaborates with scholars based in United States, Canada and Hungary. Nancy M. Lee's co-authors include Horace H. Loh, Andrew P. Smith, Horace H. Loh, Andrew Smith, Roger Cooke, David A. Johnson, Jaw Kang Chang, Howard Friedman, James L. Bennington and Helen H. Lu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Biomaterials.

In The Last Decade

Nancy M. Lee

69 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy M. Lee United States 25 1.2k 1.1k 505 204 178 69 2.0k
Takekazu Kubo Japan 26 798 0.7× 869 0.8× 559 1.1× 113 0.6× 109 0.6× 54 2.3k
Louis E. Burton United States 24 1.2k 1.1× 1.9k 1.7× 455 0.9× 143 0.7× 170 1.0× 41 3.1k
Masato Hirata Japan 29 1.7k 1.4× 444 0.4× 536 1.1× 210 1.0× 358 2.0× 83 2.7k
Takako Kondo Japan 22 684 0.6× 379 0.3× 232 0.5× 102 0.5× 121 0.7× 66 1.6k
Renata Ciccarelli Italy 34 1.3k 1.1× 1.1k 1.0× 290 0.6× 192 0.9× 159 0.9× 97 3.3k
John W. Bigbee United States 25 869 0.7× 736 0.7× 348 0.7× 172 0.8× 169 0.9× 68 2.6k
Giulia Maria Camerino Italy 28 1.2k 1.0× 318 0.3× 456 0.9× 267 1.3× 76 0.4× 74 1.9k
Alessandro Castorina Italy 27 617 0.5× 657 0.6× 224 0.4× 250 1.2× 108 0.6× 81 1.7k
Juan J. Salazar Spain 30 1.2k 1.0× 336 0.3× 308 0.6× 129 0.6× 115 0.6× 119 3.0k
Lee Barrett United States 21 1.1k 0.9× 1.1k 1.0× 797 1.6× 158 0.8× 64 0.4× 30 2.6k

Countries citing papers authored by Nancy M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Nancy M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy M. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy M. Lee. A scholar is included among the top collaborators of Nancy M. Lee 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 Nancy M. Lee. Nancy M. Lee 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.
Lee, Nancy M., Cevat Erişken, Thomas Iskratsch, et al.. (2016). Polymer fiber-based models of connective tissue repair and healing. Biomaterials. 112. 303–312. 75 indexed citations
2.
Lu, Shan, et al.. (2010). Different real-time PCR systems yield different gene expression values. Molecular and Cellular Probes. 24(5). 315–320. 12 indexed citations
3.
Lu, Shan, Yanek S. Y. Chiu, Andrew Smith, Dan H. Moore, & Nancy M. Lee. (2009). Biomarkers Correlate With Colon Cancer and Risks. Diseases of the Colon & Rectum. 52(4). 715–724. 3 indexed citations
4.
Zielinski, Anne J., Sylvia Fong, Juanita Allison, et al.. (2009). The helix‐loop‐helix Id‐1 inhibits PSA expression in prostate cancer cells. International Journal of Cancer. 126(10). 2490–2496. 8 indexed citations
5.
Smith, Andrew & Nancy M. Lee. (2007). Role of zinc in ALS. Amyotrophic Lateral Sclerosis. 8(3). 131–143. 56 indexed citations
6.
Chen, Ling-chun, et al.. (2004). Temporal gene expression patterns in G93A/SOD1 mouse. Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders. 5(3). 164–171. 23 indexed citations
7.
Ben, Yong, Andrew P. Smith, Peter W. Schiller, & Nancy M. Lee. (2004). Tolerance develops in spinal cord, but not in brain with chronic [Dmt1]DALDA treatment. British Journal of Pharmacology. 143(8). 987–993. 10 indexed citations
8.
Riba, Pál, Yong Ben, Andrew Smith, Susanna Fürst, & Nancy M. Lee. (2002). Morphine Tolerance in Spinal Cord Is Due to Interaction between μ- and δ-Receptors. Journal of Pharmacology and Experimental Therapeutics. 300(1). 265–272. 33 indexed citations
9.
Riba, Pál, Yong Ben, Thi M.‐D. Nguyen, et al.. (2002). [Dmt¹]DALDA is Highly Selective and Potent at μ Opioid Receptors, but is not Cross-Tolerant with Systemic Morphine. Current Medicinal Chemistry. 9(1). 31–39. 28 indexed citations
10.
Yu, Lei, et al.. (1995). Alteration of OBCAM conformation as a result of opioid receptor expression and opioid ligand treatment. Brain Research. 698(1-2). 15–22. 2 indexed citations
11.
Shark, Katherine B. & Nancy M. Lee. (1995). Cloning, sequencing and localization to chromosome 11 of a cDNA encoding a human opioid-binding cell adhesion molecule (OBCAM). Gene. 155(2). 213–217. 15 indexed citations
12.
Jin, Wenzhen, Nancy M. Lee, Horace H. Loh, & Stanley A. Thayer. (1993). Opioid-induced inhibition of voltage-gated calcium channels parallels expression of ω-conotoxin-sensitive channel subtype during differentiation of NG108-15 cells. Brain Research. 607(1-2). 17–22. 19 indexed citations
13.
Lee, Nancy M., et al.. (1992). Opioid-binding cell adhesion molecule (OBCAM)-related clones from a rat brain cDNA library. Gene. 117(2). 249–254. 19 indexed citations
14.
Roy, Sabita, et al.. (1991). [3H]Morphine binding is enhanced by IL‐1‐stimulated thymocyte proliferation. FEBS Letters. 287(1-2). 93–96. 40 indexed citations
15.
Roy, Sabita, Sathish Ramakrishnan, Horace H. Loh, & Nancy M. Lee. (1991). Chronic morphine treatment selectively suppresses macrophage colony formation in bone marrow. European Journal of Pharmacology. 195(3). 359–363. 59 indexed citations
16.
Lee, Nancy M., et al.. (1989). Mu-type opioid receptors in rat periaqueductal gray-enriched P2 membrane are coupled to guanine nucleotide binding proteins. Brain Research. 476(1). 102–109. 18 indexed citations
17.
Kwiat, Geoffrey C., et al.. (1989). Characterization of high affinity opioid binding sites in rat periaqueductal gray P2 membrane. European Journal of Pharmacology. 159(1). 83–88. 8 indexed citations
18.
Hosobuchi, Yoshio, et al.. (1987). Consequence of Dynorphin-A Administration on Anterior Pituitary Hormone Concentrations in the Adult Male Rhesus Monkey. Neuroendocrinology. 45(4). 284–289. 13 indexed citations
19.
Johnson, David A., Nancy M. Lee, Roger Cooke, & Horace H. Loh. (1980). Adaptation to Ethanol-Induced Fluidization of Brain Lipid Bilayers: Cross-Tolerance and Reversibility. Molecular Pharmacology. 17(1). 52–55. 35 indexed citations
20.
Lee, Nancy M. & Andrew P. Smith. (1980). A protein-lipid model of the opiate receptor. Life Sciences. 26(18). 1459–1464. 85 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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