Brian Long

8.5k total citations
46 papers, 2.0k citations indexed

About

Brian Long is a scholar working on Immunology, Molecular Biology and Biophysics. According to data from OpenAlex, Brian Long has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 13 papers in Molecular Biology and 11 papers in Biophysics. Recurrent topics in Brian Long's work include Immune Cell Function and Interaction (15 papers), HIV Research and Treatment (10 papers) and Cell Image Analysis Techniques (9 papers). Brian Long is often cited by papers focused on Immune Cell Function and Interaction (15 papers), HIV Research and Treatment (10 papers) and Cell Image Analysis Techniques (9 papers). Brian Long collaborates with scholars based in United States, Sweden and Denmark. Brian Long's co-authors include Douglas F. Nixon, Lewis L. Lanier, Lishomwa C. Ndhlovu, Jason D. Barbour, Aashish R. Jha, Sandra López‐Vergès, R. Brad Jones, Tsuyoshi Fujita, Roland Tisch and Cheryl A. Stoddart and has published in prestigious journals such as Science, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Brian Long

45 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Long United States 23 1.0k 528 305 212 150 46 2.0k
Rachel S. Friedman United States 27 1.4k 1.3× 431 0.8× 344 1.1× 90 0.4× 116 0.8× 50 2.3k
Snævar Sigurðsson United States 20 921 0.9× 389 0.7× 489 1.6× 91 0.4× 137 0.9× 36 2.0k
Katherine Miszkiel United Kingdom 29 665 0.6× 499 0.9× 940 3.1× 42 0.2× 333 2.2× 47 4.4k
J. Crosbie Australia 31 2.7k 2.5× 518 1.0× 286 0.9× 54 0.3× 120 0.8× 80 5.0k
Aaron B. Kantor United States 24 3.0k 2.8× 819 1.6× 351 1.2× 32 0.2× 209 1.4× 47 4.1k
Michael Morse United States 13 1.2k 1.1× 3.3k 6.2× 606 2.0× 82 0.4× 191 1.3× 34 4.6k
Dale L. Bodian United States 24 700 0.7× 1.5k 2.9× 375 1.2× 55 0.3× 284 1.9× 44 3.1k
David Croteau United States 23 318 0.3× 397 0.8× 344 1.1× 197 0.9× 200 1.3× 44 2.4k
Karl W. Hasel United States 16 629 0.6× 1.2k 2.2× 105 0.3× 229 1.1× 225 1.5× 23 2.1k
Vannary Meas‐Yedid France 24 232 0.2× 834 1.6× 119 0.4× 45 0.2× 193 1.3× 47 2.6k

Countries citing papers authored by Brian Long

Since Specialization
Citations

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

Fields of papers citing papers by Brian Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Long

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Long. A scholar is included among the top collaborators of Brian Long 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 Brian Long. Brian Long 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.
Hawrylycz, Michael, Eitan S Kaplan, Kyle J. Travaglini, et al.. (2024). SEA-AD is a multimodal cellular atlas and resource for Alzheimer’s disease. Nature Aging. 4(10). 1331–1334. 5 indexed citations
2.
Miller, Jeremy A., Jeongbin Park, Boudewijn P. F. Lelieveldt, et al.. (2023). Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain. Scientific Reports. 13(1). 9567–9567. 9 indexed citations
3.
Fang, Rongxin, Chenglong Xia, Jennie Close, et al.. (2022). Conservation and divergence of cortical cell organization in human and mouse revealed by MERFISH. Science. 377(6601). 56–62. 136 indexed citations
4.
Langseth, Christoffer Mattsson, Daniel Gyllborg, Jeremy A. Miller, et al.. (2021). Comprehensive in situ mapping of human cortical transcriptomic cell types. Communications Biology. 4(1). 998–998. 20 indexed citations
5.
Park, Jeongbin, Sebastian Tiesmeyer, Brian Long, et al.. (2021). Author Correction: Cell segmentation-free inference of cell types from in situ transcriptomics data. Nature Communications. 12(1). 4103–4103. 1 indexed citations
6.
Park, Jeongbin, Sebastian Tiesmeyer, Brian Long, et al.. (2021). Cell segmentation-free inference of cell types from in situ transcriptomics data. Nature Communications. 12(1). 3545–3545. 75 indexed citations
7.
Zhou, Jie, Zhi Zhou, Alessandro Bria, et al.. (2016). Bioimage Informatics for Big Data. Advances in anatomy, embryology and cell biology. 219. 263–272. 5 indexed citations
8.
Ghosn, Eliver, Jeffrey Waters, Ryō Yamamoto, et al.. (2015). Fetal Hematopoietic Stem Cell Transplantation Fails to Fully Regenerate the B-Lymphocyte Compartment. Stem Cell Reports. 6(1). 137–149. 52 indexed citations
9.
Zhou, Zhi, et al.. (2015). TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections. Neuroinformatics. 14(1). 41–50. 38 indexed citations
10.
Doan, Vivian, et al.. (2012). Abbreviated exposure to cuprizone is sufficient to induce demyelination and oligodendrocyte loss. Journal of Neuroscience Research. 91(3). 363–373. 42 indexed citations
11.
Stoddart, Cheryl A., Ekaterina Maidji, Sofiya A. Galkina, et al.. (2011). Superior human leukocyte reconstitution and susceptibility to vaginal HIV transmission in humanized NOD-scid IL-2Rγ−/− (NSG) BLT mice. Virology. 417(1). 154–160. 81 indexed citations
12.
Long, Brian, Joan M. Chapman, Jason D. Barbour, et al.. (2009). Increased number and function of natural killer cells in human immunodeficiency virus 1‐positive subjects co‐infected with herpes simplex virus 2. Immunology. 129(2). 186–196. 12 indexed citations
13.
Loo, Christopher P., Brian Long, Frederick Hecht, Douglas F. Nixon, & Jakob Michaëlsson. (2009). HIV-1-Specific T Cell-Dependent Natural Killer (NK) Cell Activation: Major Contribution by NK Cells to Interferon-γ Production in Response to HIV-1 Antigens. AIDS Research and Human Retroviruses. 25(6). 603–605. 4 indexed citations
14.
Lopez, Benjamin, Nathan J. Kuwada, Erin Craig, Brian Long, & Heiner Linke. (2008). Realization of a Feedback Controlled Flashing Ratchet. Physical Review Letters. 101(22). 220601–220601. 88 indexed citations
15.
Long, Brian, et al.. (2008). Multidirectional sorting modes in deterministic lateral displacement devices. Physical Review E. 78(4). 46304–46304. 52 indexed citations
16.
Long, Brian, Jakob Michaëlsson, Christopher P. Loo, et al.. (2007). Elevated Frequency of Gamma Interferon-Producing NK Cells in Healthy Adults Vaccinated against Influenza Virus. Clinical and Vaccine Immunology. 15(1). 120–130. 56 indexed citations
17.
18.
Moran, Timothy P., Joseph E. Burgents, Brian Long, et al.. (2007). Alphaviral vector-transduced dendritic cells are successful therapeutic vaccines against neu-overexpressing tumors in wild-type mice. Vaccine. 25(36). 6604–6612. 35 indexed citations
19.
Barbour, Jason D., Mariana M. Sauer, Keith Garrison, et al.. (2007). HIV-1/HSV-2 Co-Infected Adults in Early HIV-1 Infection Have Elevated CD4+ T Cell Counts. PLoS ONE. 2(10). e1080–e1080. 22 indexed citations
20.
Long, Brian, Carmen P. Wong, Yaming Wang, & Roland Tisch. (2006). Lymphopenia‐driven CD8+ T cells are resistant to antigen‐induced tolerance in NOD.scid mice. European Journal of Immunology. 36(8). 2003–2012. 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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