David R. Glass

1.4k total citations
11 papers, 486 citations indexed

About

David R. Glass is a scholar working on Immunology, Molecular Biology and Biophysics. According to data from OpenAlex, David R. Glass has authored 11 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Biophysics. Recurrent topics in David R. Glass's work include T-cell and B-cell Immunology (6 papers), Single-cell and spatial transcriptomics (5 papers) and Immune Cell Function and Interaction (4 papers). David R. Glass is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Single-cell and spatial transcriptomics (5 papers) and Immune Cell Function and Interaction (4 papers). David R. Glass collaborates with scholars based in United States, Canada and Colombia. David R. Glass's co-authors include Sean C. Bendall, Felix J. Hartmann, Marla C. Glass, Albert G. Tsai, Reema Baskar, Zumana Khair, Michael Angelo, Dunja Mrdjen, Jan Van den Bossche and Alex Baranski and has published in prestigious journals such as Nature Medicine, Nature Communications and Blood.

In The Last Decade

David R. Glass

10 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Glass United States 8 264 196 71 45 36 11 486
Felipe A. Vieira Braga Netherlands 11 343 1.3× 163 0.8× 88 1.2× 32 0.7× 16 0.4× 17 596
Floriane Noël France 9 275 1.0× 234 1.2× 158 2.2× 47 1.0× 37 1.0× 11 529
G.C. Spagnoli Switzerland 14 478 1.8× 305 1.6× 176 2.5× 21 0.5× 26 0.7× 23 679
Jonathan W. Tetreault United States 6 195 0.7× 125 0.6× 47 0.7× 17 0.4× 46 1.3× 13 476
Evgeny S. Egorov Russia 9 444 1.7× 314 1.6× 112 1.6× 15 0.3× 29 0.8× 10 726
Yukai Jing China 12 187 0.7× 110 0.6× 47 0.7× 15 0.3× 11 0.3× 31 352
Billur Akkaya United States 12 502 1.9× 159 0.8× 149 2.1× 46 1.0× 7 0.2× 21 686
Cynthia Detre United States 15 443 1.7× 151 0.8× 71 1.0× 18 0.4× 5 0.1× 18 620
Franklin Fuh United States 10 156 0.6× 115 0.6× 100 1.4× 15 0.3× 24 0.7× 16 385
Krystle Veerman France 6 330 1.3× 176 0.9× 196 2.8× 38 0.8× 8 0.2× 6 493

Countries citing papers authored by David R. Glass

Since Specialization
Citations

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

Fields of papers citing papers by David R. Glass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Glass

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

All Works

11 of 11 papers shown
1.
Jones, Daniel C., et al.. (2025). Cell simulation as cell segmentation. Nature Methods. 22(6). 1331–1342. 7 indexed citations
2.
Shasha, Carolyn, David R. Glass, Laura Islas, et al.. (2025). Hallmarks of T-cell exhaustion and antigen experience are absent in multiple myeloma from diagnosis to maintenance therapy. Blood. 145(26). 3113–3123. 2 indexed citations
3.
Favaro, Patrícia, David R. Glass, Albert G. Tsai, et al.. (2024). Terminal deoxynucleotidyl transferase and CD84 identify human multi-potent lymphoid progenitors. Nature Communications. 15(1). 5910–5910.
4.
Koenig, Joshua F. E., Niels Peter Hell Knudsen, Allyssa Phelps, et al.. (2024). Type 2–polarized memory B cells hold allergen-specific IgE memory. Science Translational Medicine. 16(733). eadi0944–eadi0944. 36 indexed citations
5.
Glass, David R., Nirasha Ramchurren, K. Rachael Parks, et al.. (2024). Multi-omic profiling reveals the endogenous and neoplastic responses to immunotherapies in cutaneous T cell lymphoma. Cell Reports Medicine. 5(5). 101527–101527. 3 indexed citations
6.
Robinson, Makeda, David R. Glass, Verónica Durán, et al.. (2023). Magnitude and kinetics of the human immune cell response associated with severe dengue progression by single-cell proteomics. Science Advances. 9(12). eade7702–eade7702. 11 indexed citations
7.
Glass, David R., Reema Baskar, Inna Averbukh, et al.. (2022). Supervised dimensionality reduction for exploration of single-cell data by HSS-LDA. Patterns. 3(8). 100536–100536. 12 indexed citations
8.
Glass, Marla C., David R. Glass, Carlos O. Esquivel, et al.. (2022). Human IL-10-producing B cells have diverse states that are induced from multiple B cell subsets. Cell Reports. 39(3). 110728–110728. 55 indexed citations
9.
Glass, David R., Albert G. Tsai, John Paul Oliveria, et al.. (2020). An Integrated Multi-omic Single-Cell Atlas of Human B Cell Identity. Immunity. 53(1). 217–232.e5. 129 indexed citations
10.
Hartmann, Felix J., Dunja Mrdjen, Erin McCaffrey, et al.. (2020). Single-cell metabolic profiling of human cytotoxic T cells. Nature Biotechnology. 39(2). 186–197. 206 indexed citations
11.
Tsai, Albert G., David R. Glass, Marisa M. Juntilla, et al.. (2020). Multiplexed single-cell morphometry for hematopathology diagnostics. Nature Medicine. 26(3). 408–417. 25 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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