Daniel R. Salomon

15.9k total citations
152 papers, 8.1k citations indexed

About

Daniel R. Salomon is a scholar working on Molecular Biology, Surgery and Transplantation. According to data from OpenAlex, Daniel R. Salomon has authored 152 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 48 papers in Surgery and 37 papers in Transplantation. Recurrent topics in Daniel R. Salomon's work include Renal Transplantation Outcomes and Treatments (35 papers), Organ Transplantation Techniques and Outcomes (16 papers) and T-cell and B-cell Immunology (15 papers). Daniel R. Salomon is often cited by papers focused on Renal Transplantation Outcomes and Treatments (35 papers), Organ Transplantation Techniques and Outcomes (16 papers) and T-cell and B-cell Immunology (15 papers). Daniel R. Salomon collaborates with scholars based in United States, Switzerland and Canada. Daniel R. Salomon's co-authors include Sunil M. Kurian, Steven R. Head, Laura Crisá, H. Kiyomi Komori, Thomas Whisenant, Sarah LaMere, Jennifer Ishii, Katie Podshivalova, Bruce E. Torbett and Alexander B. Niculescu and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel R. Salomon

150 papers receiving 7.9k citations

Peers

Daniel R. Salomon
Jochen Reiser United States
Mats Brännström Sweden
Menna R. Clatworthy United Kingdom
Martin R. Pollak United States
Michael Kashgarian United States
Henk‐Jan Schuurman Netherlands
Andrew J.T. George United Kingdom
Michael Eckhaus United States
Julia M. Potter Australia
Peter A. Horn Germany
Jochen Reiser United States
Daniel R. Salomon
Citations per year, relative to Daniel R. Salomon Daniel R. Salomon (= 1×) peers Jochen Reiser

Countries citing papers authored by Daniel R. Salomon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Salomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Salomon

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Salomon. A scholar is included among the top collaborators of Daniel R. Salomon 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 Daniel R. Salomon. Daniel R. Salomon 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.
Ventura, Carlucci Gualberto, Thomas Whisenant, Terri Gelbart, et al.. (2019). Discovery and cross-validation of peripheral blood and renal biopsy gene expression signatures from ethnically diverse kidney transplant populations. American Journal of Transplantation. 19(12). 3356–3366. 5 indexed citations
2.
Kurian, Sunil M., Eric J. Velazquez, Ryan C. Thompson, et al.. (2017). Orthogonal Comparison of Molecular Signatures of Kidney Transplants With Subclinical and Clinical Acute Rejection: Equivalent Performance Is Agnostic to Both Technology and Platform. American Journal of Transplantation. 17(8). 2103–2116. 29 indexed citations
3.
Komori, H. Kiyomi, Sarah LaMere, Traver Hart, et al.. (2017). Microdroplet PCR for Highly Multiplexed Targeted Bisulfite Sequencing. Methods in molecular biology. 1708. 333–348. 1 indexed citations
4.
Modena, Brian D., F. Harrison, Jennifer A. Cheeseman, et al.. (2016). Changes in Urinary Microbiome Populations Correlate in Kidney Transplants With Interstitial Fibrosis and Tubular Atrophy Documented in Early Surveillance Biopsies. American Journal of Transplantation. 17(3). 712–723. 59 indexed citations
5.
Modena, Brian D., Sunil M. Kurian, Lillian W. Gaber, et al.. (2016). Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long‐Term Outcomes. American Journal of Transplantation. 16(7). 1982–1998. 77 indexed citations
6.
Hart, Traver, H. Kiyomi Komori, Sarah LaMere, Katie Podshivalova, & Daniel R. Salomon. (2013). Finding the active genes in deep RNA-seq gene expression studies. BMC Genomics. 14(1). 778–778. 166 indexed citations
7.
Head, Steven R., Tony S. Mondala, Terri Gelbart, et al.. (2013). RNA Purification and Expression Analysis Using Microarrays and RNA Deep Sequencing. Methods in molecular biology. 1034. 385–403. 5 indexed citations
8.
Nieuwerburgh, Filip Van, Katie Podshivalova, Lana Schaffer, et al.. (2011). Quantitative Bias in Illumina TruSeq and a Novel Post Amplification Barcoding Strategy for Multiplexed DNA and Small RNA Deep Sequencing. PLoS ONE. 6(10). e26969–e26969. 45 indexed citations
9.
Kurian, Sunil M., Dominic Borie, Jun Deng, et al.. (2010). Deconvoluting Post-Transplant Immunity: Cell Subset-Specific Mapping Reveals Pathways for Activation and Expansion of Memory T, Monocytes and B Cells. PLoS ONE. 5(10). e13358–e13358. 22 indexed citations
10.
Marcucci, Katherine T., Takele Argaw, Carolyn A. Wilson, & Daniel R. Salomon. (2009). Identification of two distinct structural regions in a human porcine endogenous retrovirus receptor, HuPAR2, contributing to function for viral entry. Retrovirology. 6(1). 3–3. 12 indexed citations
11.
Kunicki, Thomas J., Shirley Williams, Daniel R. Salomon, et al.. (2009). Genetics of platelet reactivity in normal, healthy individuals. Journal of Thrombosis and Haemostasis. 7(12). 2116–2122. 29 indexed citations
12.
Mondala, Tony S., et al.. (2009). Whole genome transcript profiling from fingerstick blood samples: a comparison and feasibility study. BMC Genomics. 10(1). 617–617. 20 indexed citations
13.
Edemir, Bayram, Sunil M. Kurian, Martin Eisenacher, et al.. (2008). Activation of counter-regulatory mechanisms in a rat renal acute rejection model. BMC Genomics. 9(1). 71–71. 22 indexed citations
14.
15.
Light, Jimmy A., Daniel R. Salomon, Arnold G. Diethelm, et al.. (2002). Bone marrow transfusions in cadaver renal allografts: pilot trials with concurrent controls. Clinical Transplantation. 16(5). 317–324. 10 indexed citations
16.
Salomon, Daniel R., et al.. (2002). Elevated kallikrein activity in plasma from stable liver transplant recipients. International Immunopharmacology. 2(12). 1667–1680. 4 indexed citations
17.
Todd, Scott C., et al.. (1996). CD81 expressed on human thymocytes mediates integrin activation and interleukin 2-dependent proliferation.. The Journal of Experimental Medicine. 184(5). 2055–2060. 83 indexed citations
18.
Normann, Sigurd J., Daniel R. Salomon, Paisan Leelachaikul, et al.. (1991). Acute vascular rejection of the coronary arteries in human heart transplantation: pathology and correlations with immunosuppression and cytomegalovirus infection.. PubMed. 10(5 Pt 1). 674–87. 35 indexed citations
19.
Pfaff, William, Richard J. Howard, Juan C. Scornik, et al.. (1989). INCIDENTAL AND PURPOSEFUL RANDOM DONOR BLOOD TRANSFUSION. Sensitization and Transplantation. Transplantation. 47(1). 130–133. 18 indexed citations
20.
Scornik, Juan C., Daniel R. Salomon, Richard J. Howard, & William Pfaff. (1988). EVALUATION OF ANTIBODY SYNTHESIS IN BROADLY SENSITIZED PATIENTS1. Transplantation. 45(1). 95–100. 7 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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