Matthew R. Silver

1.4k total citations
16 papers, 962 citations indexed

About

Matthew R. Silver is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Matthew R. Silver has authored 16 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Reproductive Medicine. Recurrent topics in Matthew R. Silver's work include Cancer Immunotherapy and Biomarkers (4 papers), Hypothalamic control of reproductive hormones (3 papers) and Cancer Genomics and Diagnostics (3 papers). Matthew R. Silver is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Hypothalamic control of reproductive hormones (3 papers) and Cancer Genomics and Diagnostics (3 papers). Matthew R. Silver collaborates with scholars based in United States, Austria and Belgium. Matthew R. Silver's co-authors include Herbert Haack, Kurt A. Schalper, David L. Rimm, Jason R. Brown, Hallie Wimberly, Veerle Bossuyt, Donald R. Lannin, Christian P. Nixon, Lajos Pusztai and Stacia A. Sower and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Matthew R. Silver

16 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew R. Silver United States 11 517 330 295 217 123 16 962
Huihong Xu United States 12 757 1.5× 297 0.9× 281 1.0× 415 1.9× 146 1.2× 23 1.6k
W. Patrick Devine United States 11 231 0.4× 112 0.3× 247 0.8× 658 3.0× 163 1.3× 26 1.2k
Nichol Miller United States 20 246 0.5× 103 0.3× 83 0.3× 627 2.9× 180 1.5× 32 1.1k
Eliana Marinari Switzerland 13 208 0.4× 195 0.6× 64 0.2× 429 2.0× 73 0.6× 25 954
Pratiti Bandopadhayay United States 19 190 0.4× 88 0.3× 259 0.9× 604 2.8× 215 1.7× 61 1.5k
Masami Kuramochi Japan 11 131 0.3× 240 0.7× 132 0.4× 726 3.3× 89 0.7× 22 1.1k
Carly Leung Switzerland 12 364 0.7× 133 0.4× 68 0.2× 1.0k 4.7× 176 1.4× 15 1.3k
Maxime De Waegeneer Belgium 6 190 0.4× 300 0.9× 89 0.3× 726 3.3× 149 1.2× 7 1.0k
Mark J. Berger United States 4 210 0.4× 198 0.6× 125 0.4× 781 3.6× 230 1.9× 4 1.2k
Marta Koch Belgium 7 292 0.6× 123 0.4× 89 0.3× 562 2.6× 201 1.6× 7 848

Countries citing papers authored by Matthew R. Silver

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Silver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Silver. 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 Matthew R. Silver. The network helps show where Matthew R. Silver may publish in the future.

Co-authorship network of co-authors of Matthew R. Silver

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

All Works

16 of 16 papers shown
1.
Strauss, Julius, Christopher R. Heery, Joseph W. Kim, et al.. (2018). First-in-Human Phase I Trial of a Tumor-Targeted Cytokine (NHS-IL12) in Subjects with Metastatic Solid Tumors. Clinical Cancer Research. 25(1). 99–109. 116 indexed citations
2.
Silver, Matthew R., et al.. (2018). Novel methods reveal that parallelism contributes to the functional vertical slot dimension in ceramic and metal brackets. The Angle Orthodontist. 88(6). 812–818. 3 indexed citations
3.
McLaughlin, Joseph, Kurt A. Schalper, Daniel Carvajal‐Hausdorf, et al.. (2015). Abstract 1310: Programmed death ligand-1 (PD-L1) heterogeneity in non-small cell lung cancer (NSCLC). Cancer Research. 75(15_Supplement). 1310–1310. 2 indexed citations
4.
Wimberly, Hallie, Jason R. Brown, Kurt A. Schalper, et al.. (2014). PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancer Immunology Research. 3(4). 326–332. 312 indexed citations
5.
McLaughlin, Joseph, Kurt A. Schalper, Daniel Carvajal‐Hausdorf, et al.. (2014). Domain-specific PD-L1 protein measurement in non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 32(15_suppl). 8064–8064. 15 indexed citations
6.
Rimkunas, Victoria, Daiqiang Li, Yerong Hu, et al.. (2012). Analysis of Receptor Tyrosine Kinase ROS1-Positive Tumors in Non–Small Cell Lung Cancer: Identification of a FIG-ROS1 Fusion. Clinical Cancer Research. 18(16). 4449–4457. 225 indexed citations
7.
Silver, Matthew R., Stephen Grossberg, Daniel Bullock, Mark H. Histed, & Earl K. Miller. (2011). A neural model of sequential movement planning and control of eye movements: Item-Order-Rank working memory and saccade selection by the supplementary eye fields. Neural Networks. 26. 29–58. 33 indexed citations
9.
Jeong, Jee‐Yeong, Matthew R. Silver, Aric Parnes, et al.. (2011). Resveratrol ameliorates TNFα‐mediated suppression of erythropoiesis in human CD34+ cells via modulation of NF‐κB signalling. British Journal of Haematology. 155(1). 93–101. 11 indexed citations
10.
Rimkunas, Victoria, Marcus P. Kelly, Matthew R. Silver, et al.. (2010). Frequencies of ALK and ROS in NSCLC FFPE tumor samples utilizing a highly specific immunohistochemistry-based assay and FISH analysis.. Journal of Clinical Oncology. 28(15_suppl). 10536–10536. 9 indexed citations
11.
Silver, Matthew R., et al.. (2009). IL-33 synergizes with IgE-dependent and IgE-independent agents to promote mast cell and basophil activation. Inflammation Research. 59(3). 207–218. 118 indexed citations
12.
Silver, Matthew R. & Stacia A. Sower. (2006). Functional characterization and kinetic studies of an ancestral lamprey GnRH-III selective type II GnRH receptor from the sea lamprey, Petromyzon marinus. Journal of Molecular Endocrinology. 36(3). 601–610. 15 indexed citations
13.
DiNieri, Jennifer A., et al.. (2006). Reward-related neuronal activity in the rat superior colliculus. Behavioural Brain Research. 177(1). 160–164. 10 indexed citations
14.
Youn, Hyejin, et al.. (2006). Price of anarchy in boston road network. 48. 2 indexed citations
15.
Silver, Matthew R., Nathaniel V. Nucci, Adam Root, Karen L. Reed, & Stacia A. Sower. (2005). Cloning and Characterization of a Functional Type II Gonadotropin-Releasing Hormone Receptor with a Lengthy Carboxy-Terminal Tail from an Ancestral Vertebrate, the Sea Lamprey. Endocrinology. 146(8). 3351–3361. 31 indexed citations
16.
Silver, Matthew R., Hiroshi Kawauchi, Masumi Nozaki, & Stacia A. Sower. (2004). Cloning and analysis of the lamprey GnRH-III cDNA from eight species of lamprey representing the three families of Petromyzoniformes. General and Comparative Endocrinology. 139(1). 85–94. 49 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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