Daniel Coombs

5.0k total citations · 1 hit paper
85 papers, 3.5k citations indexed

About

Daniel Coombs is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Daniel Coombs has authored 85 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 17 papers in Infectious Diseases and 16 papers in Molecular Biology. Recurrent topics in Daniel Coombs's work include T-cell and B-cell Immunology (22 papers), HIV Research and Treatment (14 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Daniel Coombs is often cited by papers focused on T-cell and B-cell Immunology (22 papers), HIV Research and Treatment (14 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Daniel Coombs collaborates with scholars based in Canada, United States and United Kingdom. Daniel Coombs's co-authors include Michael A. Gilchrist, Byron Goldstein, Omer Dushek, Raibatak Das, Carla Wofsy, Mark X. Sliwkowski, Gail D. Lewis Phillips, Mark D. Pegram, Dennis J. Slamon and D L Baly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Daniel Coombs

82 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inhibitory effects of combinations of HER-2/neu antibody and chemotherapeutic agents used for treatment of human breast cancers

1999 540 citations Mark D. Pegram, Gail D. Lewis Phillips et al. Oncogene profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Coombs Canada	35	892	834	771	749	600	85	3.5k
Michael Meyer‐Hermann Germany	36	1.3k 1.5×	2.8k 3.3×	199 0.3×	505 0.7×	575 1.0×	158	5.3k
Lindi M. Wahl Canada	31	1.3k 1.5×	414 0.5×	1.1k 1.4×	198 0.3×	419 0.7×	111	4.8k
Natalia L. Komarova United States	42	2.2k 2.4×	1.1k 1.3×	622 0.8×	1.1k 1.4×	469 0.8×	167	7.3k
Martin Eichner Germany	34	427 0.5×	318 0.4×	675 0.9×	140 0.2×	608 1.0×	124	3.8k
M. Feldman Israel	36	1.1k 1.2×	2.1k 2.5×	139 0.2×	858 1.1×	549 0.9×	159	5.3k
Gennady Bocharov Russia	30	590 0.7×	825 1.0×	790 1.0×	173 0.2×	76 0.1×	155	2.9k
Jennifer J. Linderman United States	44	2.3k 2.6×	996 1.2×	159 0.2×	504 0.7×	497 0.8×	149	5.5k
Benjamin D. Greenbaum United States	29	1.5k 1.6×	1.5k 1.9×	233 0.3×	1.3k 1.8×	154 0.3×	74	3.8k
Alex Sigal United States	24	3.2k 3.6×	606 0.7×	209 0.3×	1.1k 1.4×	142 0.2×	46	5.7k
Kristian G. Andersen United States	30	995 1.1×	618 0.7×	647 0.8×	162 0.2×	84 0.1×	56	3.8k

Countries citing papers authored by Daniel Coombs

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Coombs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Coombs

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Coombs. A scholar is included among the top collaborators of Daniel Coombs 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 Coombs. Daniel Coombs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Watts, Allison W., Sirui Li, Michael A. Irvine, et al.. (2025). Chronic health consequences of the COVID-19 pandemic on school workers: a cross-sectional post-pandemic analysis. BMJ Open. 15(7). e095685–e095685.

Irvine, Michael A., et al.. (2024). Estimating the total utilization of take home naloxone during an unregulated drug toxicity crisis: A Bayesian modeling approach. International Journal of Drug Policy. 128. 104454–104454. 1 indexed citations

Goldfarb, David A., Louise C. Mâsse, Allison W. Watts, et al.. (2022). SARS-CoV-2 seroprevalence among Vancouver public school staff in British Columbia, Canada: a cross-sectional study. BMJ Open. 12(4). e057846–e057846. 15 indexed citations

Stockdale, Jessica E., Sean C. Anderson, Andrew M. Edwards, et al.. (2022). Quantifying transmissibility of SARS-CoV-2 and impact of intervention within long-term healthcare facilities. Royal Society Open Science. 9(1). 211710–211710. 3 indexed citations

Iyaniwura, Sarafa A., Prince Adu, Marsha Taylor, et al.. (2022). Mathematical modeling of COVID-19 in British Columbia: An age-structured model with time-dependent contact rates. Epidemics. 39. 100559–100559. 16 indexed citations

Byrne, Catherine, Christine Johnston, Jackson Orem, et al.. (2021). Examining the dynamics of Epstein-Barr virus shedding in the tonsils and the impact of HIV-1 coinfection on daily saliva viral loads. PLoS Computational Biology. 17(6). e1009072–e1009072. 13 indexed citations

Anderson, Sean C., Andrew M. Edwards, Jessica E. Stockdale, et al.. (2020). Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing. PLoS Computational Biology. 16(12). e1008274–e1008274. 53 indexed citations

Irvine, Michael A., Daniel Coombs, Brandon del Pozo, et al.. (2020). Modeling COVID-19 and Its Impacts on U.S. Immigration and Customs Enforcement (ICE) Detention Facilities, 2020. Journal of Urban Health. 97(4). 439–447. 28 indexed citations

Coombs, Daniel, et al.. (2019). Diffusion analysis of single particle trajectories in a Bayesian nonparametrics framework. Physical Biology. 17(2). 25001–25001. 10 indexed citations

10.

Coombs, Daniel. (2019). First among equals. Physics of Life Reviews. 28. 92–93. 11 indexed citations

11.

Coombs, Daniel, et al.. (2018). Stochastic Dynamics of the Latently Infected Cell Reservoir During HIV Infection. Bulletin of Mathematical Biology. 81(1). 131–154. 3 indexed citations

12.

Byrne, Catherine, Soren Gantt, & Daniel Coombs. (2018). Effects of spatiotemporal HSV-2 lesion dynamics and antiviral treatment on the risk of HIV-1 acquisition. PLoS Computational Biology. 14(4). e1006129–e1006129. 7 indexed citations

13.

Coombs, Daniel, et al.. (2016). In vivo regulation of integrin turnover by outside-in activation. Journal of Cell Science. 129(15). 2912–2924. 14 indexed citations

14.

Tzou, Justin C., et al.. (2014). Asymptotic Analysis of First Passage Time Problems Inspired by Ecology. Bulletin of Mathematical Biology. 77(1). 83–125. 49 indexed citations

15.

Gutenkunst, Ryan N., Daniel Coombs, Toby Starr, Michael L. Dustin, & Byron Goldstein. (2011). A Biophysical Model of Cell Adhesion Mediated by Immunoadhesin Drugs and Antibodies. PLoS ONE. 6(5). e19701–e19701. 3 indexed citations

16.

Das, Raibatak, Christopher W. Cairo, & Daniel Coombs. (2009). A Hidden Markov Model for Single Particle Tracks Quantifies Dynamic Interactions between LFA-1 and the Actin Cytoskeleton. PLoS Computational Biology. 5(11). e1000556–e1000556. 101 indexed citations

17.

Goldstein, Byron, Daniel Coombs, James R. Faeder, & William S. Hlavacek. (2008). Kinetic Proofreading Model. Advances in experimental medicine and biology. 640. 82–94. 14 indexed citations

18.

Coombs, Daniel, et al.. (2007). Evaluating the importance of within- and between-host selection pressures on the evolution of chronic pathogens. Theoretical Population Biology. 72(4). 576–591. 111 indexed citations

19.

Coombs, Daniel, Alexis M. Kalergis, Stanley G. Nathenson, Carla Wofsy, & Byron Goldstein. (2002). Activated TCRs remain marked for internalization after dissociation from pMHC. Nature Immunology. 3(10). 926–931. 87 indexed citations

20.

Pegram, Mark D., Gail D. Lewis Phillips, Richard J. Pietras, et al.. (1999). Inhibitory effects of combinations of HER-2/neu antibody and chemotherapeutic agents used for treatment of human breast cancers. Oncogene. 18(13). 2241–2251. 540 indexed citations breakdown →

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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