David Benjamin

3.0k total citations
29 papers, 603 citations indexed

About

David Benjamin is a scholar working on Molecular Biology, Condensed Matter Physics and Physiology. According to data from OpenAlex, David Benjamin has authored 29 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Condensed Matter Physics and 6 papers in Physiology. Recurrent topics in David Benjamin's work include Physics of Superconductivity and Magnetism (7 papers), Cancer Genomics and Diagnostics (5 papers) and T-cell and B-cell Immunology (4 papers). David Benjamin is often cited by papers focused on Physics of Superconductivity and Magnetism (7 papers), Cancer Genomics and Diagnostics (5 papers) and T-cell and B-cell Immunology (4 papers). David Benjamin collaborates with scholars based in United States, Israel and Australia. David Benjamin's co-authors include David A. Hafler, Eugene Demler, Allan D. Duby, S J Lee, D A Hafler, David A. Fox, H L Weiner, Howard L. Weiner, Jonathan G. Seidman and Staley A. Brod and has published in prestigious journals such as Physical Review Letters, Nature Genetics and The Journal of Experimental Medicine.

In The Last Decade

David Benjamin

28 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Benjamin United States 13 220 169 82 77 71 29 603
Antonino Romeo Italy 19 94 0.4× 375 2.2× 73 0.9× 32 0.4× 240 3.4× 74 1.0k
Masanori Miyazaki Japan 25 332 1.5× 390 2.3× 70 0.9× 269 3.5× 199 2.8× 122 1.6k
Steven J. Pitts United States 9 149 0.7× 143 0.8× 28 0.3× 41 0.5× 30 0.4× 12 405
K. Hartmann Germany 9 247 1.1× 138 0.8× 19 0.2× 21 0.3× 101 1.4× 16 573
Stefan Heinrichs Germany 18 124 0.6× 599 3.5× 135 1.6× 41 0.5× 353 5.0× 41 1.2k
G Fujii Japan 10 69 0.3× 214 1.3× 53 0.6× 26 0.3× 94 1.3× 36 490
Heather M. Gibson United States 18 404 1.8× 226 1.3× 102 1.2× 41 0.5× 357 5.0× 44 1.0k
JG Park South Korea 8 204 0.9× 226 1.3× 40 0.5× 20 0.3× 124 1.7× 12 567
Sandy L. Nguyen United States 15 143 0.7× 329 1.9× 48 0.6× 41 0.5× 168 2.4× 21 964
Ivan T. Georgiev United States 6 864 3.9× 132 0.8× 80 1.0× 52 0.7× 161 2.3× 8 1.2k

Countries citing papers authored by David Benjamin

Since Specialization
Citations

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

Fields of papers citing papers by David Benjamin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Benjamin

This figure shows the co-authorship network connecting the top 25 collaborators of David Benjamin. A scholar is included among the top collaborators of David Benjamin 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 David Benjamin. David Benjamin 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
1.
Babadi, Mehrtash, Jack Fu, Samuel K. Lee, et al.. (2023). GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data. Nature Genetics. 55(9). 1589–1597. 35 indexed citations
2.
Laricchia, Kristen M., Nicole J. Lake, Nicholas A. Watts, et al.. (2022). Mitochondrial DNA variation across 56,434 individuals in gnomAD. Genome Research. 32(3). 569–582. 53 indexed citations
3.
Shand, Megan, José Soto, Lee Lichtenstein, et al.. (2020). A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis. Communications Biology. 3(1). 744–744. 1 indexed citations
4.
Brody, Yehuda, Robert Kimmerling, Yosef E. Maruvka, et al.. (2018). Quantification of somatic mutation flow across individual cell division events by lineage sequencing. Genome Research. 28(12). 1901–1918. 17 indexed citations
5.
Babadi, Mehrtash, David Benjamin, Samuel K. Lee, et al.. (2017). Abstract 3580: GATK CNV: copy-number variation discovery from coverage data. Cancer Research. 77(13_Supplement). 3580–3580. 3 indexed citations
6.
Chevalier, Aaron, Lee Lichtenstein, Andrey N. Smirnov, et al.. (2017). Abstract 3581: GATK ACNV: allelic copy-number variation discovery from SNPs and coverage data. Cancer Research. 77(13_Supplement). 3581–3581. 2 indexed citations
7.
Shi, Yifei, David Benjamin, Eugene Demler, & Israel Klich. (2016). Superconducting pairing in resonant inelastic x-ray scattering. Physical review. B.. 94(9). 3 indexed citations
8.
Sperling, Oded, et al.. (2015). Hereditary Renal Hypouricemia: Heterogeneity of Tubular Abnormality. PubMed. 10. 122–126.
9.
Torre, Emanuele G. Dalla, Y.-S. He, David Benjamin, & Eugene Demler. (2015). Exploring quasiparticles in high-Tccuprates through photoemission, tunneling, and x-ray scattering experiments. New Journal of Physics. 17(2). 22001–22001. 13 indexed citations
10.
Benjamin, David, Israel Klich, & Eugene Demler. (2014). Single-Band Model of Resonant Inelastic X-Ray Scattering by Quasiparticles in High-TcCuprate Superconductors. Physical Review Letters. 112(24). 247002–247002. 31 indexed citations
11.
Benjamin, David, Dmitry A. Abanin, Peter Abbamonte, & Eugene Demler. (2013). Microscopic Theory of Resonant Soft-X-Ray Scattering in Materials with Charge Order: The Example of Charge Stripes in High-Temperature Cuprate Superconductors. Physical Review Letters. 110(13). 137002–137002. 9 indexed citations
12.
He, Y.-S., et al.. (2013). Exploring Quasiparticles in High-Tc Cuprates Through Photoemission, Tunneling, and X-ray Scattering Experiments. arXiv (Cornell University). 2014. 5 indexed citations
13.
Hafler, David A., Allan D. Duby, S J Lee, et al.. (1988). Oligoclonal T lymphocytes in the cerebrospinal fluid of patients with multiple sclerosis.. The Journal of Experimental Medicine. 167(4). 1313–1322. 119 indexed citations
14.
Ang, S L, J.G. Seidman, Allan D. Duby, et al.. (1987). Functional gamma chain-associated T cell receptors on cerebrospinal fluid-derived natural killer-like T cell clones.. The Journal of Experimental Medicine. 165(5). 1453–1458. 30 indexed citations
15.
Hafler, D A, David A. Fox, David Benjamin, & H L Weiner. (1986). Antigen reactive memory T cells are defined by Ta1.. The Journal of Immunology. 137(2). 414–418. 86 indexed citations
16.
Benjamin, David, et al.. (1979). B- and T-lymphocyte subpopulations in polycythemia vera. Clinical Immunology and Immunopathology. 13(4). 378–382. 4 indexed citations
17.
Benjamin, David, H Joshua, M Djaldetti, Bilha Hazaz, & J Pinkhas. (1979). Nonsecretory IgD‐Kappa Multiple Myeloma in a Patient with Gaucher's Disease. Scandinavian Journal of Haematology. 22(2). 179–184. 34 indexed citations
18.
Benjamin, David, et al.. (1978). Familial hypouricemia due to isolated renal tubular abnormality.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 29(2). 54–6. 9 indexed citations
19.
Benjamin, David, Dan Douer, Adi Pick, et al.. (1978). Peripheral Cryoglobulinemic Neuropathy in a Patient with Gaucher’s Disease. Acta Haematologica. 60(2). 117–121. 8 indexed citations
20.
Benjamin, David, Oded Sperling, Abraham Weinberger, J Pinkhas, & André de Vries. (1977). Familial Renal Hypouricemia due to Isolated Tubular Defect. Advances in experimental medicine and biology. 76B. 72–76. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026