Soheil Shams

532 total citations
22 papers, 315 citations indexed

About

Soheil Shams is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Soheil Shams has authored 22 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Soheil Shams's work include Gene expression and cancer classification (7 papers), Genomic variations and chromosomal abnormalities (5 papers) and Cancer Genomics and Diagnostics (5 papers). Soheil Shams is often cited by papers focused on Gene expression and cancer classification (7 papers), Genomic variations and chromosomal abnormalities (5 papers) and Cancer Genomics and Diagnostics (5 papers). Soheil Shams collaborates with scholars based in United States, Australia and Canada. Soheil Shams's co-authors include Bruce Hoff, Sorin Drăghici, Yo Han Lee, Stanley F. Nelson, Jun Dong, Olga I. Kulaeva, Michael A. Tainsky, Donald Becker, David B. Seligson and Timothy F. Cloughesy and has published in prestigious journals such as Blood, Bioinformatics and Cancer Research.

In The Last Decade

Soheil Shams

21 papers receiving 300 citations

Peers

Soheil Shams
Comparison fields: 5 of 64
  • Molecular Biology 155
  • Epidemiology 92
  • Genetics 64
  • Neurology 58
  • Genetics 39
Replace Diana Thomas with:
Diana Thomas United States
Nathalie Julen France
Yan Gong China
Weei‐Yuarn Huang Canada
Yongjian Deng China
Payal Jain United States
Stas Volik United States
Jin Ying Wang United States
Daniel Moreno-Andrés Germany
Bouke A. de Boer Netherlands
Diana Thomas United States View profile →
Citations per field, relative to Soheil Shams
Soheil Shams · 1×
Citations per year, relative to Soheil Shams
Soheil Shams · 1×

Countries citing papers authored by Soheil Shams

Since Specialization
Citations

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

Fields of papers citing papers by Soheil Shams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soheil Shams

This figure shows the co-authorship network connecting the top 25 collaborators of Soheil Shams. A scholar is included among the top collaborators of Soheil Shams 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 Soheil Shams. Soheil Shams 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
# Work Indexed citations
1 0
2 2
3 1
4 1
5 1
6 1
7 1
8 83
9 1
10 10
11 104
12 17
13 46
14 2
15 2
16 17
17 2
18 1
19 10
20
Dream machine: a platform for efficient implementation of neural networks with arbitrarily complex interconnection structures
2

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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