Nicole N. Scheff

2.0k total citations
43 papers, 1.1k citations indexed

About

Nicole N. Scheff is a scholar working on Psychiatry and Mental health, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nicole N. Scheff has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Psychiatry and Mental health, 15 papers in Physiology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nicole N. Scheff's work include Cancer, Stress, Anesthesia, and Immune Response (16 papers), Pain Mechanisms and Treatments (14 papers) and Neuropeptides and Animal Physiology (9 papers). Nicole N. Scheff is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (16 papers), Pain Mechanisms and Treatments (14 papers) and Neuropeptides and Animal Physiology (9 papers). Nicole N. Scheff collaborates with scholars based in United States, Australia and Canada. Nicole N. Scheff's co-authors include Michael S. Gold, Brian L. Schmidt, Brian M. Davis, John C. Dolan, Jami L. Saloman, Stephen W. Scheff, Jun‐Ho La, Erica S. Schwartz, Kathryn M. Albers and Gerald F. Gebhart and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

In The Last Decade

Nicole N. Scheff

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole N. Scheff United States 19 379 282 265 261 130 43 1.1k
Kyle G. Halvorson United States 14 693 1.8× 226 0.8× 317 1.2× 202 0.8× 174 1.3× 21 1.3k
Yi Ye United States 17 254 0.7× 194 0.7× 152 0.6× 190 0.7× 70 0.5× 63 858
Kazufumi Kubota Japan 13 748 2.0× 269 1.0× 354 1.3× 180 0.7× 191 1.5× 32 1.2k
Takahiro Shimizu Japan 23 251 0.7× 414 1.5× 252 1.0× 94 0.4× 126 1.0× 134 1.7k
Wen‐Li Mi China 29 814 2.1× 364 1.3× 268 1.0× 125 0.5× 64 0.5× 68 1.8k
Tim Hagenacker Germany 25 546 1.4× 658 2.3× 246 0.9× 118 0.5× 123 0.9× 110 1.8k
Xin Luo United States 21 794 2.1× 464 1.6× 411 1.6× 127 0.5× 82 0.6× 41 1.7k
Zhengliang Ma China 25 784 2.1× 355 1.3× 419 1.6× 122 0.5× 44 0.3× 108 1.6k
Geoffroy Laumet United States 21 772 2.0× 525 1.9× 401 1.5× 177 0.7× 51 0.4× 41 1.6k
Daniel Vardeh United States 9 970 2.6× 321 1.1× 441 1.7× 181 0.7× 82 0.6× 11 1.5k

Countries citing papers authored by Nicole N. Scheff

Since Specialization
Citations

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

Fields of papers citing papers by Nicole N. Scheff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole N. Scheff. 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 Nicole N. Scheff. The network helps show where Nicole N. Scheff may publish in the future.

Co-authorship network of co-authors of Nicole N. Scheff

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole N. Scheff. A scholar is included among the top collaborators of Nicole N. Scheff 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 Nicole N. Scheff. Nicole N. Scheff 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.
Amit, Moran, Tuany Eichwald, A. Roger, et al.. (2025). Neuro-immune cross-talk in cancer. Nature reviews. Cancer. 25(8). 573–589. 8 indexed citations
2.
McIlvried, Lisa A., Marci L. Nilsen, Amin Reza Nikpoor, et al.. (2024). Morphine treatment restricts response to immunotherapy in oral squamous cell carcinoma. Journal for ImmunoTherapy of Cancer. 12(11). e009962–e009962. 5 indexed citations
3.
Scheff, Nicole N., et al.. (2023). Cancer Neuroscience. 1 indexed citations
4.
McIlvried, Lisa A., et al.. (2022). The impact of tumor immunogenicity on cancer pain phenotype using syngeneic oral cancer mouse models. SHILAP Revista de lepidopterología. 3. 991725–991725. 14 indexed citations
5.
Meerschaert, Kimberly A., Bahiyyah Jefferson, Robert Friedman, et al.. (2022). Neuronally expressed PDL1, not PD1, suppresses acute nociception. Brain Behavior and Immunity. 106. 233–246. 14 indexed citations
6.
Salvo, Elizabeth, Nguyen Huu Tu, Nicole N. Scheff, et al.. (2021). TNFα promotes oral cancer growth, pain, and Schwann cell activation. Scientific Reports. 11(1). 1840–1840. 48 indexed citations
7.
Tu, Nguyen Huu, Kenji Inoue, Caroline M. Sawicki, et al.. (2021). Cathepsin S Evokes PAR2-Dependent Pain in Oral Squamous Cell Carcinoma Patients and Preclinical Mouse Models. Cancers. 13(18). 4697–4697. 23 indexed citations
8.
Pineda-Farías, Jorge Baruch, Jami L. Saloman, & Nicole N. Scheff. (2020). Animal Models of Cancer-Related Pain: Current Perspectives in Translation. Frontiers in Pharmacology. 11. 610894–610894. 15 indexed citations
9.
Nilsen, Marci L., Michael A. Belsky, Nicole N. Scheff, et al.. (2020). Late and Long-Term Treatment-Related Effects and Survivorship for Head and Neck Cancer Patients. Current Treatment Options in Oncology. 21(12). 92–92. 23 indexed citations
10.
Tu, Nguyen Huu, Dane D. Jensen, Nestor N. Jiménez-Vargas, et al.. (2020). Legumain Induces Oral Cancer Pain by Biased Agonism of Protease-Activated Receptor-2. Journal of Neuroscience. 41(1). 193–210. 44 indexed citations
11.
Scheff, Nicole N., et al.. (2020). A disintegrin and metalloproteinase domain 17-epidermal growth factor receptor signaling contributes to oral cancer pain. Pain. 161(10). 2330–2343. 10 indexed citations
12.
13.
Scheff, Nicole N., Aditi Bhattacharya, John C. Dolan, et al.. (2018). Neutrophil-Mediated Endogenous Analgesia Contributes to Sex Differences in Oral Cancer Pain. Frontiers in Integrative Neuroscience. 12. 52–52. 38 indexed citations
14.
Ye, Yi, Nicole N. Scheff, Daniel Galera Bernabé, et al.. (2018). Anti-cancer and analgesic effects of resolvin D2 in oral squamous cell carcinoma. Neuropharmacology. 139. 182–193. 66 indexed citations
15.
Saloman, Jami L., Nicole N. Scheff, Lindsey M. Snyder, et al.. (2016). Gi-DREADD Expression in Peripheral Nerves Produces Ligand-Dependent Analgesia, as well as Ligand-Independent Functional Changes in Sensory Neurons. Journal of Neuroscience. 36(42). 10769–10781. 71 indexed citations
16.
Saloman, Jami L., Nicole N. Scheff, Michael S. Gold, & Brian M. Davis. (2015). (457) Gi-DREADD expression in TRPV1-Cre mice produces ligand-dependent behavioral inhibition to noxious heat, but ligand-independent changes in sensory neurons. Journal of Pain. 16(4). S90–S90. 4 indexed citations
17.
Fee, Dominic B., et al.. (2010). Melatonin-analog, β-methyl-6-chloromelatonin, supplementation in spinal cord injury. Brain Research. 1340. 81–85. 7 indexed citations
18.
19.
Kelso, Matthew L., Nicole N. Scheff, Stephen W. Scheff, & James R. Pauly. (2010). Melatonin and minocycline for combinatorial therapy to improve functional and histopathological deficits following traumatic brain injury. Neuroscience Letters. 488(1). 60–64. 47 indexed citations
20.
Fee, Dominic B., et al.. (2007). Effects of progesterone on experimental spinal cord injury. Brain Research. 1137(1). 146–152. 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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