Ben Beheshti

1.5k total citations
36 papers, 1.2k citations indexed

About

Ben Beheshti is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ben Beheshti has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Genetics and 10 papers in Cancer Research. Recurrent topics in Ben Beheshti's work include Genomic variations and chromosomal abnormalities (16 papers), Genomics and Chromatin Dynamics (12 papers) and Cancer Genomics and Diagnostics (8 papers). Ben Beheshti is often cited by papers focused on Genomic variations and chromosomal abnormalities (16 papers), Genomics and Chromatin Dynamics (12 papers) and Cancer Genomics and Diagnostics (8 papers). Ben Beheshti collaborates with scholars based in Canada, Hong Kong and United States. Ben Beheshti's co-authors include Jeremy A. Squire, Jane Bayani, Maria Zieleńska, Paula Marrano, Monique Albert, Pascale F Macgregor, Nathalie Wong, Paul B.S. Lai, Bisera Vukovic and Gloria Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

Ben Beheshti

35 papers receiving 1.1k citations

Peers

Ben Beheshti
Comparison fields: 5 of 83
  • Molecular Biology 736
  • Cancer Research 381
  • Genetics 305
  • Pulmonary and Respiratory Medicine 266
  • Oncology 190
Replace Markus Heidenblad with:
Markus Heidenblad Sweden
Carl N. Sprung Australia
K. Autio Finland
Abdellatif Errami Netherlands
Jianzhong Huang United States
Einav Nili Gal‐Yam Israel
Sophie Gad France
Rosa‐Ana Risques Spain
Saraswathy Seetharam United States
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Citations per field, relative to Ben Beheshti
Ben Beheshti · 1×
Citations per year, relative to Ben Beheshti
Ben Beheshti · 1×

Countries citing papers authored by Ben Beheshti

Since Specialization
Citations

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

Fields of papers citing papers by Ben Beheshti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Beheshti

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Beheshti. A scholar is included among the top collaborators of Ben Beheshti 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 Ben Beheshti. Ben Beheshti 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 83
2 9
3 4
4 46
5 19
6 42
7 45
8
Anti-Cryptococcal-Globulin-Latex Production for Rapid Detection of Cryptococcus neoformans Polysaccharide Antigen in Cryptococcosis
1
9 44
10 16
11 35
12 76
13 16
14 27
15 32
16 126
17 4
18 20
19 42
20 27

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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