Deborah A. Silverman

951 total citations
10 papers, 293 citations indexed

About

Deborah A. Silverman is a scholar working on Oncology, Psychiatry and Mental health and Surgery. According to data from OpenAlex, Deborah A. Silverman has authored 10 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Psychiatry and Mental health and 2 papers in Surgery. Recurrent topics in Deborah A. Silverman's work include Cancer, Stress, Anesthesia, and Immune Response (3 papers), Meningioma and schwannoma management (2 papers) and Nerve injury and regeneration (2 papers). Deborah A. Silverman is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (3 papers), Meningioma and schwannoma management (2 papers) and Nerve injury and regeneration (2 papers). Deborah A. Silverman collaborates with scholars based in United States and Israel. Deborah A. Silverman's co-authors include Moran Amit, Jeffrey N. Myers, Patrick M. Dougherty, George A. Călin, Hideaki Takahashi, Shorook Na’ara, Eva P. Shronts, Patrick J. Hunt, Peter D. Aplan and Sarah H. Beachy and has published in prestigious journals such as Cancer Research, Neuroscience Letters and Cancers.

In The Last Decade

Deborah A. Silverman

10 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah A. Silverman United States 6 95 82 81 74 38 10 293
Christopher W. Rowe Australia 11 69 0.7× 66 0.8× 157 1.9× 65 0.9× 61 1.6× 35 359
George Katsamakis United States 5 81 0.9× 95 1.2× 61 0.8× 69 0.9× 27 0.7× 7 465
Simon V. Liubinas Australia 9 56 0.6× 59 0.7× 79 1.0× 23 0.3× 39 1.0× 15 360
Hui Yao China 13 55 0.6× 112 1.4× 18 0.2× 77 1.0× 44 1.2× 33 461
Yusuke Nanri Japan 14 98 1.0× 86 1.0× 20 0.2× 39 0.5× 85 2.2× 19 540
Esteban Cordero Spain 7 22 0.2× 90 1.1× 87 1.1× 33 0.4× 12 0.3× 14 324
E. R. Laws United States 7 77 0.8× 52 0.6× 121 1.5× 38 0.5× 57 1.5× 11 363
Xiao Zhu United States 9 14 0.1× 79 1.0× 33 0.4× 73 1.0× 32 0.8× 25 301
Andrej Vranič Slovenia 11 35 0.4× 71 0.9× 57 0.7× 27 0.4× 9 0.2× 19 346

Countries citing papers authored by Deborah A. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Deborah A. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah A. Silverman. 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 Deborah A. Silverman. The network helps show where Deborah A. Silverman may publish in the future.

Co-authorship network of co-authors of Deborah A. Silverman

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

All Works

10 of 10 papers shown
1.
Amit, Moran, Tongxin Xie, Frederico O. Gleber‐Netto, et al.. (2022). Distinct immune signature predicts progression of vestibular schwannoma and unveils a possible viral etiology. Journal of Experimental & Clinical Cancer Research. 41(1). 292–292. 6 indexed citations
2.
Hunt, Patrick J., et al.. (2021). Mini-review: Trophic interactions between cancer cells and primary afferent neurons. Neuroscience Letters. 746. 135658–135658. 8 indexed citations
3.
Takahashi, Yoko, Moran Amit, Frederico O. Gleber‐Netto, et al.. (2021). Evaluation of the Immune Microenvironment in Sinonasal Squamous Cell Carcinoma and Its Association with Patients' Survival. Journal of Neurological Surgery Part B Skull Base. 2 indexed citations
4.
Amit, Moran, Gautam U. Mehta, Diana Bell, et al.. (2021). Distinct Immune Signature Predicts Progression of Vestibular Schwannoma and Unveils a Possible Viral Etiology. Journal of Neurological Surgery Part B Skull Base. 1 indexed citations
5.
Silverman, Deborah A., et al.. (2020). Cancer-Associated Neurogenesis and Nerve-Cancer Cross-talk. Cancer Research. 81(6). 1431–1440. 149 indexed citations
6.
Silverman, Deborah A., George A. Călin, Jeffrey N. Myers, & Moran Amit. (2020). Neural reprogramming via microRNAs: the new kid on the p53-deficient block. Molecular & Cellular Oncology. 7(4). 1756723–1756723. 1 indexed citations
7.
Silverman, Deborah A., et al.. (2019). Radioiodine-Refractory Thyroid Cancer: Molecular Basis of Redifferentiation Therapies, Management, and Novel Therapies. Cancers. 11(9). 1382–1382. 107 indexed citations
8.
Abrams, Donald I., et al.. (2017). A Survey of Licensed Acupuncturists in the San Francisco Bay Area: Prevalence of Treating Oncology Patients. Integrative Cancer Therapies. 17(1). 92–98. 3 indexed citations
9.
Beachy, Sarah H., et al.. (2013). Isolated Hoxa9 overexpression predisposes to the development of lymphoid but not myeloid leukemia. Experimental Hematology. 41(6). 518–529.e5. 10 indexed citations
10.
Shronts, Eva P. & Deborah A. Silverman. (1992). Impetus for Change in Educational Preparation. Nutrition in Clinical Practice. 7(3S). 9–14. 6 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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