Thomas J. Daly

1.5k total citations
26 papers, 1.3k citations indexed

About

Thomas J. Daly is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Thomas J. Daly has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Virology. Recurrent topics in Thomas J. Daly's work include Protein purification and stability (8 papers), HIV Research and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Thomas J. Daly is often cited by papers focused on Protein purification and stability (8 papers), HIV Research and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Thomas J. Daly collaborates with scholars based in United States, Austria and Taiwan. Thomas J. Daly's co-authors include James R. Rusche, Theodore E. Maione, Kathleen Sue Cook, Gary S. Gray, Ning Li, Shunhai Wang, Yuetian Yan, Kevin H. Mayo, Vikram Roongta and Joachim Hauber and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Thomas J. Daly

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas J. Daly United States 15 810 413 237 216 163 26 1.3k
R. Crowther United States 18 927 1.1× 200 0.5× 491 2.1× 112 0.5× 192 1.2× 23 1.8k
Leo Kei Iwai Brazil 21 488 0.6× 90 0.2× 201 0.8× 104 0.5× 65 0.4× 61 1.2k
Claudius Malerczyk Germany 20 394 0.5× 378 0.9× 49 0.2× 198 0.9× 62 0.4× 39 1.1k
Petra Mlčochová United Kingdom 19 368 0.5× 335 0.8× 254 1.1× 166 0.8× 125 0.8× 29 1.1k
Susan H. Shakin-Eshleman United States 11 640 0.8× 150 0.4× 203 0.9× 94 0.4× 138 0.8× 15 966
Yusuke Miyanari Japan 13 1.1k 1.3× 185 0.4× 194 0.8× 166 0.8× 106 0.7× 27 2.4k
Sabine Druillennec France 17 731 0.9× 602 1.5× 282 1.2× 369 1.7× 37 0.2× 25 1.3k
Kasinath Viswanathan United States 16 431 0.5× 468 1.1× 467 2.0× 215 1.0× 20 0.1× 26 1.3k
Kazuyuki Takai Japan 21 1.3k 1.6× 62 0.2× 110 0.5× 102 0.5× 125 0.8× 103 1.6k
Ryo Morishita Japan 17 1.2k 1.5× 81 0.2× 155 0.7× 83 0.4× 178 1.1× 39 1.6k

Countries citing papers authored by Thomas J. Daly

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Daly. 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 Thomas J. Daly. The network helps show where Thomas J. Daly may publish in the future.

Co-authorship network of co-authors of Thomas J. Daly

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Daly. A scholar is included among the top collaborators of Thomas J. Daly 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 Thomas J. Daly. Thomas J. Daly 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.
Xiao, Hui, et al.. (2020). Improved Host Cell Protein Analysis in Monoclonal Antibody Products through Molecular Weight Cutoff Enrichment. Analytical Chemistry. 92(5). 3751–3757. 47 indexed citations
2.
Yan, Yuetian, et al.. (2020). Online coupling of analytical hydrophobic interaction chromatography with native mass spectrometry for the characterization of monoclonal antibodies and related products. Journal of Pharmaceutical and Biomedical Analysis. 186. 113313–113313. 39 indexed citations
3.
Mao, Yuan, Thomas J. Daly, & Ning Li. (2019). Lys‐Sequencer: An algorithm for de novo sequencing of peptides by paired single residue transposed Lys‐C and Lys‐N digestion coupled with high‐resolution mass spectrometry. Rapid Communications in Mass Spectrometry. 34(3). e8574–e8574. 1 indexed citations
4.
Mao, Yuan, et al.. (2019). Fast protein sequencing of monoclonal antibody by real-time digestion on emitter during nanoelectrospray. mAbs. 11(4). 767–778. 7 indexed citations
5.
6.
7.
Partridge, Michael A., Robert N. Dreyer, Thomas J. Daly, et al.. (2015). Matrix Interference from Fc–Fc Interactions in Immunoassays for Detecting Human Igg4 Therapeutics. Bioanalysis. 7(20). 2701–2712. 3 indexed citations
8.
Shi, Ergang, Wen Fury, Wentian Li, et al.. (2006). Monoclonal antibody classification based on epitope-binding using differential antigen disruption. Journal of Immunological Methods. 314(1-2). 9–20. 9 indexed citations
9.
Williams, Mark A., et al.. (2005). INTERLEUKIN 8 DIMERIZATION AS A MECHANISM FOR REGULATION OF NEUTROPHIL ADHERENCE-DEPENDENT OXIDANT PRODUCTION. Shock. 23(4). 371–376. 12 indexed citations
10.
Roongta, Vikram, et al.. (1999). NMR structure and dynamics of monomeric neutrophil-activating peptide 2. Biochemical Journal. 338(3). 591–598. 14 indexed citations
11.
Kukielka, Gilbert L., C. Wayne Smith, G J LaRosa, et al.. (1995). Interleukin-8 gene induction in the myocardium after ischemia and reperfusion in vivo.. Journal of Clinical Investigation. 95(1). 89–103. 203 indexed citations
12.
Daly, Thomas J., et al.. (1995). The Amino Terminal Domain of HIV-1 Rev is Required for Discrimination of the RRE from Nonspecific RNA. Journal of Molecular Biology. 253(2). 243–258. 28 indexed citations
13.
Mayo, Kevin H., Vikram Roongta, Elena Ilyina, et al.. (1995). NMR solution structure of the 32-kDa platelet factor 4 ELR-motif N-terminal chimera: a symmetric tetramer. Biochemistry. 34(36). 11399–11409. 48 indexed citations
14.
Auer, Manfred, Hans Ulrich Gremlich, Jan Seifert, et al.. (1994). Helix-Loop-Helix Motif in HIV-1 Rev. Biochemistry. 33(10). 2988–2996. 42 indexed citations
15.
Daly, Thomas J., Paul D. Rennert, Manfred Auer, et al.. (1993). Biochemical characterization of binding of multiple HIV-1 Rev monomeric proteins to the Rev responsive element. Biochemistry. 32(39). 10497–10505. 59 indexed citations
16.
Cook, Kathleen Sue, Gregory J. Fisk, Joachim Hauber, et al.. (1991). Characterization of HIV-1 REV protein: binding stoichiometry and minimal RNA substrate. Nucleic Acids Research. 19(7). 1577–1583. 126 indexed citations
17.
Farrington, G. King, Paul T. Lynch, Ernst Böhnlein, et al.. (1991). The Lentivirus Regulatory Proteins REV and REX are Site Specific RNA Binding Proteins. Advances in experimental medicine and biology. 303. 15–22. 3 indexed citations
18.
Daly, Thomas J., James R. Rusche, Theodore E. Maione, & Alan D. Frankel. (1990). Circular dichroism studies of the HIV-1 Rev protein and its specific RNA binding site. Biochemistry. 29(42). 9791–9795. 52 indexed citations
19.
Daly, Thomas J., et al.. (1990). Assembly of Xenopus transcription factor III A-5S RNA complex. Biochemistry. 29(19). 4653–4659. 7 indexed citations
20.
Daly, Thomas J., Kathleen Sue Cook, Gary S. Gray, Theodore E. Maione, & James R. Rusche. (1989). Specific binding of HIV-1 recombinant Rev protein to the Rev-responsive element in vitro. Nature. 342(6251). 816–819. 331 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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