Daniel Schwartz

7.6k total citations · 3 hit papers
48 papers, 5.9k citations indexed

About

Daniel Schwartz is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Daniel Schwartz has authored 48 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Spectroscopy. Recurrent topics in Daniel Schwartz's work include Genomics and Phylogenetic Studies (9 papers), Advanced Proteomics Techniques and Applications (9 papers) and Ubiquitin and proteasome pathways (7 papers). Daniel Schwartz is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Advanced Proteomics Techniques and Applications (9 papers) and Ubiquitin and proteasome pathways (7 papers). Daniel Schwartz collaborates with scholars based in United States, Israel and United Kingdom. Daniel Schwartz's co-authors include Steven P. Gygi, Michael F. Chou, Joshua E. Elias, Sean A. Beausoleil, Judit Villén, Junmin Peng, Gerald Marsischky, Dongmei Cheng, Daniel Finley and Jeroen Roelofs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Daniel Schwartz

47 papers receiving 5.8k citations

Hit Papers

A proteomics approach to understanding protein ubiquitina... 2003 2026 2010 2018 2003 2004 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Schwartz United States 25 4.5k 1.5k 739 693 574 48 5.9k
Richard A. Scheltema Netherlands 34 5.3k 1.2× 2.1k 1.4× 822 1.1× 473 0.7× 578 1.0× 62 7.5k
Annette Michalski Germany 10 4.5k 1.0× 2.0k 1.4× 571 0.8× 497 0.7× 669 1.2× 11 6.5k
Philip Andrews United States 52 5.5k 1.2× 1.8k 1.2× 812 1.1× 646 0.9× 371 0.6× 221 9.0k
David Schieltz United States 29 5.7k 1.3× 2.6k 1.7× 718 1.0× 441 0.6× 317 0.6× 49 7.3k
Nikolaj Blom Denmark 25 5.6k 1.2× 736 0.5× 736 1.0× 488 0.7× 553 1.0× 44 8.5k
Maarten Altelaar Netherlands 47 4.8k 1.1× 2.3k 1.5× 1.4k 1.9× 590 0.9× 208 0.4× 173 7.4k
Bernd Wollscheid Switzerland 46 4.6k 1.0× 1.8k 1.2× 753 1.0× 766 1.1× 367 0.6× 115 7.6k
Sonja Hess United States 43 4.9k 1.1× 749 0.5× 666 0.9× 526 0.8× 1.1k 1.9× 141 6.9k
Andrew J. Link United States 40 6.9k 1.5× 2.2k 1.5× 817 1.1× 534 0.8× 355 0.6× 110 9.3k
Alexandre V. Podtelejnikov Denmark 31 4.5k 1.0× 1.6k 1.0× 1.7k 2.3× 354 0.5× 272 0.5× 41 6.2k

Countries citing papers authored by Daniel Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schwartz. A scholar is included among the top collaborators of Daniel Schwartz 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 Schwartz. Daniel Schwartz 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.
Park, Kyoung-Jin, et al.. (2025). Streptomyces secretes a siderophore that sensitizes competitor bacteria to phage infection. Nature Microbiology. 10(2). 362–373. 3 indexed citations
2.
Schwartz, Daniel, et al.. (2023). Bacteria-phage coevolution with a seed bank. The ISME Journal. 17(8). 1315–1325. 10 indexed citations
3.
Schwartz, Daniel, et al.. (2023). Optimal dormancy strategies in fluctuating environments given delays in phenotypic switching. Journal of Theoretical Biology. 561. 111413–111413. 7 indexed citations
4.
Shitrit, Dror, Thomas Hackl, Raphaël Laurenceau, et al.. (2021). Genetic engineering of marine cyanophages reveals integration but not lysogeny in T7-like cyanophages. The ISME Journal. 16(2). 488–499. 31 indexed citations
5.
Zeng, Jumei, John Platig, Tan‐Yun Cheng, et al.. (2020). Protein kinases PknA and PknB independently and coordinately regulate essential Mycobacterium tuberculosis physiologies and antimicrobial susceptibility. PLoS Pathogens. 16(4). e1008452–e1008452. 36 indexed citations
6.
Buehring, Gertrude Case, et al.. (2019). Bovine leukemia virus discovered in human blood. BMC Infectious Diseases. 19(1). 297–297. 56 indexed citations
7.
Buehring, Gertrude Case, et al.. (2017). Bovine leukemia virus linked to breast cancer in Australian women and identified before breast cancer development. PLoS ONE. 12(6). e0179367–e0179367. 64 indexed citations
8.
Schwartz, Daniel, Denis Vinnikov, & Paul D. Blanc. (2017). Occupation and Obstructive Sleep Apnea. Journal of Occupational and Environmental Medicine. 59(6). 502–508. 13 indexed citations
9.
Avrani, Sarit, Daniel Schwartz, & Debbie Lindell. (2012). Virus-host swinging party in the oceans. Mobile Genetic Elements. 2(2). 88–95. 63 indexed citations
10.
Chou, Michael F., et al.. (2012). Using Bacteria to Determine Protein Kinase Specificity and Predict Target Substrates. PLoS ONE. 7(12). e52747–e52747. 20 indexed citations
11.
Ionescu, Danny, Branko Rihtman, Daniel Schwartz, et al.. (2009). Archaea in the Gulf of Aqaba. FEMS Microbiology Ecology. 69(3). 425–438. 32 indexed citations
12.
Schwartz, Daniel, Michael F. Chou, & George M. Church. (2008). Predicting Protein Post-translational Modifications Using Meta-analysis of Proteome Scale Data Sets. Molecular & Cellular Proteomics. 8(2). 365–379. 87 indexed citations
13.
Brass, David M., John K. Tomfohr, Ivana V. Yang, & Daniel Schwartz. (2007). Using Mouse Genomics to Understand Idiopathic Interstitial Fibrosis. Proceedings of the American Thoracic Society. 4(1). 92–100. 9 indexed citations
14.
Schwartz, Daniel & Steven P. Gygi. (2005). An iterative statistical approach to the identification of protein phosphorylation motifs from large-scale data sets. Nature Biotechnology. 23(11). 1391–1398. 730 indexed citations breakdown →
15.
Beausoleil, Sean A., Mark P. Jedrychowski, Daniel Schwartz, et al.. (2004). Large-scale characterization of HeLa cell nuclear phosphoproteins. Proceedings of the National Academy of Sciences. 101(33). 12130–12135. 1190 indexed citations breakdown →
16.
Shimura, Hideki, Daniel Schwartz, Steven P. Gygi, & Kenneth S. Kosik. (2004). CHIP-Hsc70 Complex Ubiquitinates Phosphorylated Tau and Enhances Cell Survival. Journal of Biological Chemistry. 279(6). 4869–4876. 388 indexed citations
17.
Peng, Junmin, Daniel Schwartz, Joshua E. Elias, et al.. (2003). A proteomics approach to understanding protein ubiquitination. Nature Biotechnology. 21(8). 921–926. 1302 indexed citations breakdown →
18.
Schwartz, Daniel & Richard M. Schultz. (1992). Zygotic gene activation in the mouse embryo: Involvement of cyclic adenosine monophosphate‐dependent protein kinase and appearance of an AP‐1‐like activity. Molecular Reproduction and Development. 32(3). 209–216. 14 indexed citations
19.
20.
Schwartz, Daniel. (1965). THE ELDERLY PATIENT AND HIS MEDICATIONS; CHANCE AND MISCHANCE.. PubMed. 20. 517–20. 9 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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