D.H.S. Silverman

626 total citations
17 papers, 493 citations indexed

About

D.H.S. Silverman is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, D.H.S. Silverman has authored 17 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in D.H.S. Silverman's work include Medical Imaging Techniques and Applications (4 papers), Gastrointestinal motility and disorders (3 papers) and Pain Management and Placebo Effect (3 papers). D.H.S. Silverman is often cited by papers focused on Medical Imaging Techniques and Applications (4 papers), Gastrointestinal motility and disorders (3 papers) and Pain Management and Placebo Effect (3 papers). D.H.S. Silverman collaborates with scholars based in United States and Germany. D.H.S. Silverman's co-authors include Peter C. Whybrow, Natalie Rasgon, M. Mandelkern, Bruce D. Naliboff, Lin Chang, Julie Munakata, Emeran A. Mayer, Steven M. Berman, Michael Bauer and Julia Kirchheiner and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

D.H.S. Silverman

17 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.H.S. Silverman United States 7 113 110 104 87 72 17 493
M.R. Lovett-Barr United States 11 226 2.0× 53 0.5× 112 1.1× 25 0.3× 98 1.4× 11 776
Nicholas Friedman United States 11 67 0.6× 71 0.6× 47 0.5× 13 0.1× 19 0.3× 25 376
LesleyH. Rees United Kingdom 5 35 0.3× 72 0.7× 106 1.0× 8 0.1× 92 1.3× 9 582
Baohui Jia China 12 42 0.4× 11 0.1× 50 0.5× 23 0.3× 67 0.9× 34 479
R. Lake United States 11 55 0.5× 26 0.2× 75 0.7× 28 0.3× 57 0.8× 17 439
Carolin Gramsch Germany 12 62 0.5× 7 0.1× 119 1.1× 23 0.3× 188 2.6× 19 464
Toyoko Asami Japan 15 17 0.2× 19 0.2× 77 0.7× 19 0.2× 40 0.6× 48 555
Lars Lykke Thomsen Denmark 13 40 0.4× 13 0.1× 410 3.9× 53 0.6× 21 0.3× 21 1.0k
P. Clarenbach Germany 13 34 0.3× 63 0.6× 79 0.8× 7 0.1× 256 3.6× 41 669
Nanna Arngrim Denmark 16 27 0.2× 71 0.6× 173 1.7× 5 0.1× 66 0.9× 25 725

Countries citing papers authored by D.H.S. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by D.H.S. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.H.S. 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 D.H.S. Silverman. The network helps show where D.H.S. Silverman may publish in the future.

Co-authorship network of co-authors of D.H.S. Silverman

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

All Works

17 of 17 papers shown
1.
Pomykala, Kelsey L., Patricia A. Ganz, Julienne E. Bower, et al.. (2013). The association between pro-inflammatory cytokines, regional cerebral metabolism, and cognitive complaints following adjuvant chemotherapy for breast cancer. Brain Imaging and Behavior. 7(4). 511–523. 100 indexed citations
2.
Ercoli, Linda M., Gary W. Small, Prabha Siddarth, et al.. (2012). Assessment of dementia risk in aging adults using both FDG‐PET and FDDNP‐PET imaging. International Journal of Geriatric Psychiatry. 27(10). 1017–1027. 6 indexed citations
3.
Ganz, Peter, S. A. Castellon, D.H.S. Silverman, et al.. (2011). Does circulating tumor necrosis factor (TNF) play a role in post-chemotherapy cerebral dysfunction in breast cancer survivors (BCS)?.. Journal of Clinical Oncology. 29(15_suppl). 9008–9008. 6 indexed citations
4.
Santer, René, Winfried Brenner, Ivayla Apostolova, et al.. (2009). Computer simulations suggest that acute correction of hyperglycaemia with an insulin bolus protocol might be useful in brain FDG PET. Nuklearmedizin - NuclearMedicine. 48(1). 44–54. 6 indexed citations
5.
Wiseman, Gregory A., Peter S. Conti, Katie D. Vo, et al.. (2007). Weight-Based Dosing of Yttrium 90 Ibritumomab Tiuxetan in Patients with Relapsed or Refractory B-Cell Non-Hodgkin Lymphoma. Clinical Lymphoma & Myeloma. 7(8). 514–517. 4 indexed citations
6.
Kesner, Adam, Wei‐Ann Hsueh, Betty S. Pio, et al.. (2007). Biodistribution and Predictive Value of 18F-Fluorocyclophosphamide in Mice Bearing Human Breast Cancer Xenografts. Journal of Nuclear Medicine. 48(12). 2021–2027. 12 indexed citations
7.
Miller, Karen J., Thomas D. Parsons, Peter C. Whybrow, et al.. (2007). Verbal Memory Retrieval Deficits Associated With Untreated Hypothyroidism. Journal of Neuropsychiatry. 19(2). 132–136. 34 indexed citations
8.
Miller, Karen J., Thomas D. Parsons, Peter C. Whybrow, et al.. (2006). MEMORY IMPROVEMENT WITH TREATMENT OF HYPOTHYROIDISM. International Journal of Neuroscience. 116(8). 895–906. 57 indexed citations
9.
10.
Bauer, Michael, et al.. (2003). Thyroid, Brain and Mood Modulation in Affective Disorder: Insights from Molecular Research and Functional Brain Imaging. Pharmacopsychiatry. 36. 215–221. 65 indexed citations
11.
Berman, Steven M., Julie Munakata, Bruce D. Naliboff, et al.. (2000). Gender differences in regional brain response to visceral pressure in IBS patients. European Journal of Pain. 4(2). 157–172. 141 indexed citations
12.
Farquhar, T.H., J. Llacer, Johannes Czernin, et al.. (1999). ROC and localization ROC analyses of lesion detection in whole-body FDG PET: effects of acquisition mode, attenuation correction and reconstruction algorithm.. PubMed. 40(12). 2043–52. 49 indexed citations
13.
Chang, Lin, J. Munakata, D.H.S. Silverman, et al.. (1998). Differences in left prefrontal activation to visceral and somatic stimuli assessed by O-15-water PET in female patients with irritable bowel syndrome (IBS) and fibromyalgia. Gastroenterology. 114. A732–A732. 3 indexed citations
14.
Naliboff, Bruce D., D.H.S. Silverman, J. Munakata, et al.. (1998). Altered regional brain activity to rectal distenstion following repetitive sigmoid stimulation in IBS. Gastroenterology. 114. A809–A809. 1 indexed citations
15.
Silverman, D.H.S., et al.. (1998). Somatization in clinical depression is associated with abnormal function of a brain region active in visceral pain perception. Gastroenterology. 114. A839–A839. 1 indexed citations
16.
17.
Silverman, D.H.S., J. Munakata, M. Mandelkern, et al.. (1996). REGIONAL CEREBRAL ACTIVITY IN NORMAL AND PATHOLOGIC PERCEPTION OF VISCERAL PAIN: AN O-15-WATER PET STUDY OF HEALTHY SUBJECTS AND IBS PATIENTS. Clinical Nuclear Medicine. 21(6). 513–513. 3 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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