A. Silver

767 total citations
9 papers, 652 citations indexed

About

A. Silver is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, A. Silver has authored 9 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in A. Silver's work include Genetic factors in colorectal cancer (3 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related Molecular Pathways (2 papers). A. Silver is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related Molecular Pathways (2 papers). A. Silver collaborates with scholars based in United States, Canada and United Kingdom. A. Silver's co-authors include Michael C. Wu, Dirk P. Dittmer, Anne Lynn S. Chang, Arnold J. Levine, Charles B. Epstein, Edward F. Attiyeh, Jiayuh Lin, Harvey R. Herschman, Kurt S. Thorn and Srinivasa T. Reddy and has published in prestigious journals such as Journal of Neuroscience, Chemosphere and Annals of the New York Academy of Sciences.

In The Last Decade

A. Silver

9 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Silver United States	8	415	345	144	96	81	9	652
HISAMITSU KOGA Japan	7	434 1.0×	314 0.9×	170 1.2×	94 1.0×	82 1.0×	11	646
Neelam G. Shah India	13	338 0.8×	225 0.7×	102 0.7×	21 0.2×	128 1.6×	23	591
A S Yang United States	5	278 0.7×	569 1.6×	136 0.9×	22 0.2×	91 1.1×	6	734
M. Bennett United Kingdom	3	295 0.7×	218 0.6×	96 0.7×	23 0.2×	37 0.5×	5	590
Paulisally Hau Yi Lo United States	18	178 0.4×	448 1.3×	242 1.7×	32 0.3×	36 0.4×	20	695
Gemma Aiza Spain	10	436 1.1×	316 0.9×	218 1.5×	24 0.3×	348 4.3×	21	732
Iwao Seshimo Japan	7	411 1.0×	224 0.6×	125 0.9×	31 0.3×	89 1.1×	13	631
Osama Al‐Assar United Kingdom	11	464 1.1×	256 0.7×	139 1.0×	30 0.3×	29 0.4×	17	694
Gemma Domínguez Spain	6	357 0.9×	274 0.8×	137 1.0×	38 0.4×	55 0.7×	7	552
W. H. Miller United States	9	486 1.2×	283 0.8×	88 0.6×	15 0.2×	29 0.4×	17	723

Countries citing papers authored by A. Silver

Since Specialization

Citations

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

Fields of papers citing papers by A. Silver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Silver

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Biancheri, Paolo, Anke Nijhuis, Antonio Di Sabatino, et al.. (2013). P057 Micro-RNA expression profiling identifies miR-29b as a relevant pro-fibrogenic factor in Crohn's disease intestinal strictures. Journal of Crohn s and Colitis. 7. S32–S32. 2 indexed citations

Vickaryous, Nicola, et al.. (2008). Smooth-muscle myosin mutations in hereditary non-polyposis colorectal cancer syndrome. British Journal of Cancer. 99(10). 1726–1728. 14 indexed citations

Suraweera, Nirosha, Jackie Haines, Amy E. McCart Reed, et al.. (2006). Genetic determinants modulate susceptibility to pregnancy-associated tumourigenesis in a recombinant line of Min mice. Human Molecular Genetics. 15(23). 3429–3435. 10 indexed citations

Schecter, Arnold, John J. Ryan, P. Fürst, et al.. (2002). Levels of dioxins and dibenzofurans in breast milk of women residing in two cities in the Irkutsk region of Russian Siberia compared with American levels. Chemosphere. 47(2). 157–164. 20 indexed citations

Farias‐Eisner, Robin, Linda Vician, A. Silver, et al.. (2000). The Urokinase Plasminogen Activator Receptor (UPAR) Is Preferentially Induced by Nerve Growth Factor in PC12 Pheochromocytoma Cells and Is Required for NGF-Driven Differentiation. Journal of Neuroscience. 20(1). 230–239. 54 indexed citations

Rasio, Debora, Yoshiki Murakumo, David J. Robbins, et al.. (1997). Characterization of the human homologue of RAD54: a gene located on chromosome 1p32 at a region of high loss of heterozygosity in breast tumors.. PubMed. 57(12). 2378–83. 28 indexed citations

Levine, Arnold J., Michael C. Wu, A. Silver, et al.. (1995). The Spectrum of Mutations at the p53 Locus. Annals of the New York Academy of Sciences. 768(1). 111–128. 86 indexed citations

Chang, Anne Lynn S., et al.. (1994). The 1993 Walter Hubert Lecture: the role of the p53 tumour-suppressor gene in tumorigenesis. British Journal of Cancer. 69(3). 409–416. 366 indexed citations

Levine, Arnold J., Anne Lynn S. Chang, Dirk P. Dittmer, et al.. (1994). The p53 tumor suppressor gene.. PubMed. 123(6). 817–23. 72 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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