Celsa A. Spina

12.3k total citations · 3 hit papers
84 papers, 8.2k citations indexed

About

Celsa A. Spina is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Celsa A. Spina has authored 84 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Virology, 44 papers in Immunology and 27 papers in Infectious Diseases. Recurrent topics in Celsa A. Spina's work include HIV Research and Treatment (55 papers), Immune Cell Function and Interaction (36 papers) and HIV/AIDS drug development and treatment (18 papers). Celsa A. Spina is often cited by papers focused on HIV Research and Treatment (55 papers), Immune Cell Function and Interaction (36 papers) and HIV/AIDS drug development and treatment (18 papers). Celsa A. Spina collaborates with scholars based in United States, United Kingdom and Switzerland. Celsa A. Spina's co-authors include Douglas D. Richman, Diane V. Havlir, Joseph K. Wong, Huldrych F. Günthard, Caroline Ignacio, Marjan Hezareh, J C Guatelli, Michal Chowers, Susan J. Little and T. Jesse Kwoh and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Celsa A. Spina

83 papers receiving 8.0k 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.

Recovery of Replication-Competent HIV Despite Prolonged Suppression of Plasma Viremia

1997 1.7k citations Joseph K. Wong, Marjan Hezareh et al. profile →
HIV-Specific Cd8+ T Cells Produce Antiviral Cytokines but Are Impaired in Cytolytic Function

2000 742 citations Victor Appay, Tao Dong et al. The Journal of Experimental Medicine profile →
Highly Precise Measurement of HIV DNA by Droplet Digital PCR

2013 413 citations Matthew C. Strain, Steven M. Lada et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Celsa A. Spina United States	33	5.7k	3.6k	3.4k	1.7k	1.3k	84	8.2k
Klara Tenner‐Racz Germany	40	7.4k 1.3×	3.6k 1.0×	5.0k 1.5×	2.4k 1.5×	979 0.8×	105	9.4k
J. Shawn Justement United States	37	6.1k 1.1×	3.4k 0.9×	3.4k 1.0×	1.7k 1.0×	868 0.7×	56	7.5k
Sunny Choe United States	10	6.5k 1.1×	2.9k 0.8×	4.6k 1.4×	1.3k 0.8×	1.7k 1.3×	10	8.4k
Kevin Kunstman United States	41	7.5k 1.3×	3.9k 1.1×	4.1k 1.2×	1.8k 1.1×	1.5k 1.2×	67	9.5k
Mathias Lichterfeld United States	45	5.0k 0.9×	2.9k 0.8×	3.8k 1.1×	1.4k 0.8×	1.1k 0.8×	137	7.2k
T M Folks United States	32	6.1k 1.1×	3.4k 1.0×	3.4k 1.0×	1.8k 1.1×	1.8k 1.4×	62	8.0k
Michael Piatak United States	42	6.0k 1.1×	3.0k 0.8×	3.8k 1.1×	2.3k 1.4×	1.0k 0.8×	117	7.9k
William A. Paxton Netherlands	36	7.9k 1.4×	3.6k 1.0×	5.8k 1.7×	1.6k 1.0×	1.8k 1.4×	88	10.3k
Marcelo J. Kuroda United States	41	4.8k 0.8×	1.8k 0.5×	4.4k 1.3×	1.7k 1.0×	1.3k 1.0×	118	7.3k
Karen Chadwick United States	18	7.8k 1.4×	5.2k 1.5×	3.0k 0.9×	1.3k 0.8×	1.0k 0.8×	33	8.6k

Countries citing papers authored by Celsa A. Spina

Since Specialization

Citations

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

Fields of papers citing papers by Celsa A. Spina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Celsa A. Spina. 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 Celsa A. Spina. The network helps show where Celsa A. Spina may publish in the future.

Co-authorship network of co-authors of Celsa A. Spina

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Soto, Paula C., et al.. (2022). HIV-1 latency is established preferentially in minimally activated and non-dividing cells during productive infection of primary CD4 T cells. PLoS ONE. 17(7). e0271674–e0271674. 7 indexed citations

Woo, Jeongmin, Cory White, Bastiaan Moesker, et al.. (2020). Micro RNA Targets in HIV Latency: Insights into Novel Layers of Latency Control. AIDS Research and Human Retroviruses. 37(2). 109–121. 13 indexed citations

Christensen-Quick, Aaron, Marta Massanella, Stephen A. Rawlings, et al.. (2019). Subclinical Cytomegalovirus DNA Is Associated with CD4 T Cell Activation and Impaired CD8 T Cell CD107a Expression in People Living with HIV despite Early Antiretroviral Therapy. Journal of Virology. 93(13). 29 indexed citations

Trypsteen, Wim, Cory White, Celsa A. Spina, et al.. (2019). Long non-coding RNAs and latent HIV – A search for novel targets for latency reversal. PLoS ONE. 14(11). e0224879–e0224879. 22 indexed citations

Beliakova‐Bethell, Nadejda, Marjan Hezareh, Joseph K. Wong, et al.. (2017). Relative efficacy of T cell stimuli as inducers of productive HIV-1 replication in latently infected CD4 lymphocytes from patients on suppressive cART. Virology. 508. 127–133. 18 indexed citations

Reardon, Brian, Nadejda Beliakova‐Bethell, Celsa A. Spina, et al.. (2015). Dose-responsive gene expression in suberoylanilide hydroxamic acid-treated resting CD4+ T cells. AIDS. 29(17). 2235–2244. 16 indexed citations

White, Cory, Harvey E. Johnston, Bastiaan Moesker, et al.. (2015). Mixed effects of suberoylanilide hydroxamic acid (SAHA) on the host transcriptome and proteome and their implications for HIV reactivation from latency. Antiviral Research. 123. 78–85. 30 indexed citations

Beliakova‐Bethell, Nadejda, Sonia Jain, Christopher H. Woelk, et al.. (2014). Maraviroc intensification in patients with suppressed HIV viremia has limited effects on CD4+ T cell recovery and gene expression. Antiviral Research. 107. 42–49. 11 indexed citations

Razooky, Brandon S., Edgar Gutierrez, Valeri H. Terry, et al.. (2012). Microwell devices with finger-like channels for long-term imaging of HIV-1 expression kinetics in primary human lymphocytes. Lab on a Chip. 12(21). 4305–4305. 8 indexed citations

10.

Strain, Matthew C., Susan J. Little, Eric S. Daar, et al.. (2005). Effect of Treatment, during Primary Infection, on Establishment and Clearance of Cellular Reservoirs of HIV-1. The Journal of Infectious Diseases. 191(9). 1410–1418. 242 indexed citations

11.

Dong, Tao, Guillaume Stewart-Jones, Nan Chen, et al.. (2004). HIV-specific Cytotoxic T Cells from Long-Term Survivors Select a Unique T Cell Receptor. The Journal of Experimental Medicine. 200(12). 1547–1557. 91 indexed citations

12.

Appay, Victor, Laura Papagno, Celsa A. Spina, et al.. (2002). Dynamics of T Cell Responses in HIV Infection. The Journal of Immunology. 168(7). 3660–3666. 118 indexed citations

13.

Appay, Victor, Laura Papagno, Celsa A. Spina, et al.. (2002). Dynamics of T Cell Responses in HIV Infection. The Journal of Immunology. 169(1). 607–607. 8 indexed citations

14.

Appay, Victor, Pokrath Hansasuta, Julian Sutton, et al.. (2002). Persistent HIV-1-specific cellular responses despite prolonged therapeutic viral suppression. AIDS. 16(2). 161–170. 20 indexed citations

15.

Spina, Celsa A., Harry E. Prince, & Douglas D. Richman. (1997). Preferential replication of HIV-1 in the CD45RO memory cell subset of primary CD4 lymphocytes in vitro.. Journal of Clinical Investigation. 99(7). 1774–1785. 155 indexed citations

16.

Schrier, Rachel, Clayton A. Wiley, Celsa A. Spina, J. Allen McCutchan, & Igor Grant. (1996). Pathogenic and protective correlates of T cell proliferation in AIDS. HNRC Group. HIV Neurobehavioral Research Center.. Journal of Clinical Investigation. 98(3). 731–740. 24 indexed citations

17.

Spina, Celsa A., T. Jesse Kwoh, Michal Chowers, J C Guatelli, & Douglas D. Richman. (1994). The importance of nef in the induction of human immunodeficiency virus type 1 replication from primary quiescent CD4 lymphocytes.. The Journal of Experimental Medicine. 179(1). 115–123. 360 indexed citations

18.

Little, Susan J., Nanette L. Riggs, Michal Chowers, et al.. (1994). Cell Surface CD4 Downregulation and Resistance to Superinfection Induced by a Defective Provirus of HIV-1. Virology. 205(2). 578–582. 32 indexed citations

19.

Meylan, Pascal, et al.. (1993). In Vitro Differentiation of Monocytoid THP-1 Cells Affects Their Permissiveness for HIV Strains: A Model System for Studying the Cellular Basis of HIV Differential Tropism. Virology. 193(1). 256–267. 23 indexed citations

20.

Berek, Jonathan S., Neville F. Hacker, Alan Lichtenstein, et al.. (1986). Intraperitoneal recombinant α-interferon for “salvage” immunotherapy in stage III epithelial ovarian cancer: A gynecologic oncology group study. Seminars in Oncology. 13(3). 61–71. 13 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.

Explore authors with similar magnitude of impact