Daniel M. Davis

22.6k total citations · 7 hit papers
225 papers, 17.4k citations indexed

About

Daniel M. Davis is a scholar working on Immunology, Molecular Biology and Geophysics. According to data from OpenAlex, Daniel M. Davis has authored 225 papers receiving a total of 17.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Immunology, 45 papers in Molecular Biology and 24 papers in Geophysics. Recurrent topics in Daniel M. Davis's work include Immune Cell Function and Interaction (94 papers), T-cell and B-cell Immunology (71 papers) and Immunotherapy and Immune Responses (36 papers). Daniel M. Davis is often cited by papers focused on Immune Cell Function and Interaction (94 papers), T-cell and B-cell Immunology (71 papers) and Immunotherapy and Immune Responses (36 papers). Daniel M. Davis collaborates with scholars based in United Kingdom, United States and Sweden. Daniel M. Davis's co-authors include F. A. Dahlen, John Suppe, Ofer Mandelboim, Jack L. Strominger, Stefanie Sowinski, Terry Engelder, Björn Önfelt, Lynn R. Sykes, George B. Cohen and P. M. W. French and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel M. Davis

213 papers receiving 16.5k citations

Hit Papers

5 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.

Mechanics of fold‐and‐thrust belts and accretionary wedges

1983 2.1k citations Daniel M. Davis et al. profile →
Recognition of haemagglutinins on virus-infected cells by NKp46 activates lysis by human NK cells

2001 754 citations Daniel M. Davis et al. profile →
The Selective Downregulation of Class I Major Histocompatibility Complex Proteins by HIV-1 Protects HIV-Infected Cells from NK Cells

1999 702 citations Daniel M. Davis et al. profile →
Mechanics of fold‐and‐thrust belts and accretionary wedges: Cohesive Coulomb Theory

1984 609 citations Daniel M. Davis et al. profile →
Membrane nanotubes physically connect T cells over long distances presenting a novel route for HIV-1 transmission

2008 597 citations Stefanie Sowinski, Marco A. Purbhoo et al. profile →
The role of salt in fold-and-thrust belts

1985 519 citations Daniel M. Davis et al. profile →
Micromechanics of pressure‐induced grain crushing in porous rocks

1990 423 citations Daniel M. Davis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel M. Davis United Kingdom	65	7.2k	4.6k	3.5k	1.7k	1.1k	225	17.4k
Raymond J. MacDonald United States	58	4.2k 0.6×	1.3k 0.3×	18.5k 5.2×	3.8k 2.3×	1.7k 1.6×	154	32.6k
David E. Fisher United States	92	5.8k 0.8×	759 0.2×	18.6k 5.2×	9.9k 6.0×	1.3k 1.2×	411	33.8k
Thomas Ludwig Germany	59	1.2k 0.2×	2.0k 0.4×	5.6k 1.6×	1.7k 1.1×	767 0.7×	194	13.4k
Henrik Clausen Denmark	97	7.6k 1.1×	543 0.1×	19.8k 5.6×	2.1k 1.3×	1.2k 1.1×	457	40.1k
Joachim Koch United States	49	1.6k 0.2×	732 0.2×	1.4k 0.4×	1.4k 0.9×	453 0.4×	259	7.6k
R. Reisfeld Israel	72	3.2k 0.5×	212 0.0×	5.7k 1.6×	2.0k 1.2×	300 0.3×	492	24.0k
Jørgen Kjems Denmark	86	1.3k 0.2×	428 0.1×	29.5k 8.3×	622 0.4×	460 0.4×	495	38.5k
Herbert Levine United States	84	3.2k 0.4×	68 0.0×	7.5k 2.1×	4.2k 2.5×	454 0.4×	461	24.0k
R. Mark Henkelman Canada	83	742 0.1×	269 0.1×	7.9k 2.2×	4.0k 2.4×	1.1k 1.0×	321	27.8k
Hiroshi Iwasaki Japan	62	566 0.1×	348 0.1×	6.2k 1.8×	1.6k 1.0×	607 0.6×	708	17.4k

Countries citing papers authored by Daniel M. Davis

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Davis. A scholar is included among the top collaborators of Daniel M. Davis 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 M. Davis. Daniel M. Davis 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

Jones, Katherine L., Kevin Stacey, Alicia Evans, et al.. (2025). CD8α and CD70 mark human natural killer cell populations which differ in cytotoxicity. Frontiers in Immunology. 16. 1526379–1526379. 1 indexed citations

Nieves, Daniel J., Jeremy A. Pike, Mahmoud A. Ahmed, et al.. (2025). Nano-org, a functional resource for single-molecule localisation microscopy data. Nature Communications. 16(1). 8674–8674.

Worboys, Jonathan D. & Daniel M. Davis. (2024). Do inhibitory receptors need to be proximal to stimulatory receptors to function?. Genes and Immunity. 25(4). 343–345. 2 indexed citations

Sheppard, Sam, Katja Srpan, Rebecca B. Delconte, et al.. (2024). Fatty acid oxidation fuels natural killer cell responses against infection and cancer. Proceedings of the National Academy of Sciences. 121(11). e2319254121–e2319254121. 30 indexed citations

Holt, W. E., Ran Feng, Jacqueline Austermann, et al.. (2022). Coupled influence of tectonics, climate, and surface processes on landscape evolution in southwestern North America. Nature Communications. 13(1). 4437–4437. 27 indexed citations

Ambrose, Ashley, Jonathan D. Worboys, Joey Ming Er Lim, et al.. (2022). Heterogeneity in extracellular vesicle secretion by single human macrophages revealed by super‐resolution microscopy. Journal of Extracellular Vesicles. 11(4). e12215–e12215. 38 indexed citations

Friedman, Daniel L., et al.. (2021). Natural killer cell immune synapse formation and cytotoxicity are controlled by tension of the target interface. Journal of Cell Science. 134(7). 43 indexed citations

Ambrose, Ashley, et al.. (2020). Synaptic secretion from human natural killer cells is diverse and includes supramolecular attack particles. Proceedings of the National Academy of Sciences. 117(38). 23717–23720. 45 indexed citations

Ambrose, Ashley, Rajesh Shah, Anne Marie Quinn, et al.. (2020). Corrected Super-Resolution Microscopy Enables Nanoscale Imaging of Autofluorescent Lung Macrophages. Biophysical Journal. 119(12). 2403–2417. 6 indexed citations

10.

Williamson, David J., Garth L. Burn, Sabrina Simoncelli, et al.. (2020). Machine learning for cluster analysis of localization microscopy data. Nature Communications. 11(1). 1493–1493. 63 indexed citations

11.

Smith, Samantha, Philippa R Kennedy, Kevin Stacey, et al.. (2020). Diversity of peripheral blood human NK cells identified by single-cell RNA sequencing. Blood Advances. 4(7). 1388–1406. 112 indexed citations

12.

Zaręba-Kozioł, Monika, Paolo Ronchi, Piotr Chrościcki, et al.. (2019). Tunneling nanotube-mediated intercellular vesicle and protein transfer in the stroma-provided imatinib resistance in chronic myeloid leukemia cells. Cell Death and Disease. 10(11). 817–817. 77 indexed citations

13.

Walwyn-Brown, Katherine, Karolin Guldevall, Mezida B. Saeed, et al.. (2018). Human NK Cells Lyse Th2-Polarizing Dendritic Cells via NKp30 and DNAM-1. The Journal of Immunology. 201(7). 2028–2041. 18 indexed citations

14.

Saeed, Mezida B., et al.. (2018). Activation of Human Natural Killer Cells by Graphene Oxide-Templated Antibody Nanoclusters. Nano Letters. 18(5). 3282–3289. 52 indexed citations

15.

Bálint, Štefan, et al.. (2018). A nanoscale reorganization of the IL-15 receptor is triggered by NKG2D in a ligand-dependent manner. Science Signaling. 11(525). 29 indexed citations

16.

Bálint, Štefan, Salvatore Valvo, James H. Felce, et al.. (2017). Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages. The Journal of Cell Biology. 216(4). 1123–1141. 43 indexed citations

17.

Fadda, Lena, Gwenoline Borhis, Parvin S. Ahmed, et al.. (2010). Peptide antagonism as a mechanism for NK cell activation. Proceedings of the National Academy of Sciences. 107(22). 10160–10165. 133 indexed citations

18.

Nedvetzki, Shlomo, Stefanie Sowinski, Robert A. Eagle, et al.. (2007). Reciprocal regulation of human natural killer cells and macrophages associated with distinct immune synapses. Blood. 109(9). 3776–3785. 209 indexed citations

19.

Haq, Sirajul & Daniel M. Davis. (2001). Quantitative Analysis of Strain in Analogue Models During Oblique Convergence. AGU Fall Meeting Abstracts. 2001.

20.

Davis, Daniel M., et al.. (1994). Fluorescence studies of tryptophan and Human Serum Albumin (HSA) in AOT reverse micelles. Research Explorer (The University of Manchester). 1 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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