Alan Cleary

1.2k total citations · 1 hit paper
22 papers, 851 citations indexed

About

Alan Cleary is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Alan Cleary has authored 22 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Oncology. Recurrent topics in Alan Cleary's work include Immune Cell Function and Interaction (5 papers), Genomics and Phylogenetic Studies (4 papers) and Bioinformatics and Genomic Networks (3 papers). Alan Cleary is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Genomics and Phylogenetic Studies (4 papers) and Bioinformatics and Genomic Networks (3 papers). Alan Cleary collaborates with scholars based in United States, India and United Kingdom. Alan Cleary's co-authors include Peter C. Doherty, Zsuzsanna Tabi, W Allan, Michael Yellin, Seth Lederman, Leonard Chess, Andrew Farmer, Lori R. Covey, Sarah M. Fortune and Giorgio Inghirami and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

In The Last Decade

Alan Cleary

21 papers receiving 841 citations

Hit Papers

Cellular events in the lymph node and lung of mice with i... 1990 2026 2002 2014 1990 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Cleary United States 10 515 175 143 135 97 22 851
Alka Agrawal India 9 396 0.8× 64 0.4× 616 4.3× 173 1.3× 110 1.1× 26 999
Angela Bauch Austria 10 384 0.7× 79 0.5× 598 4.2× 44 0.3× 103 1.1× 14 1.0k
Richard V. Turner United States 21 904 1.8× 129 0.7× 445 3.1× 71 0.5× 153 1.6× 28 1.3k
Thomas MacCarthy United States 18 286 0.6× 91 0.5× 505 3.5× 44 0.3× 111 1.1× 50 900
James M. Ostell United States 4 437 0.8× 77 0.4× 525 3.7× 56 0.4× 79 0.8× 4 969
Brian Ondek United States 5 193 0.4× 58 0.3× 451 3.2× 89 0.7× 177 1.8× 8 734
Valentina Grosso Italy 13 126 0.2× 65 0.4× 265 1.9× 243 1.8× 203 2.1× 24 747
Juergen C. Becker Germany 15 542 1.1× 91 0.5× 412 2.9× 107 0.8× 941 9.7× 18 1.4k
Gary M. Jones United States 16 346 0.7× 107 0.6× 421 2.9× 34 0.3× 164 1.7× 32 953
Sandhya Xirasagar United States 9 181 0.4× 372 2.1× 387 2.7× 27 0.2× 112 1.2× 11 801

Countries citing papers authored by Alan Cleary

Since Specialization
Citations

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

Fields of papers citing papers by Alan Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Cleary

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Cleary. A scholar is included among the top collaborators of Alan Cleary 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 Alan Cleary. Alan Cleary 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.
Cleary, Alan & Andrew Farmer. (2023). Genome Context Viewer (GCV) version 2: enhanced visual exploration of multiple annotated genomes. Nucleic Acids Research. 51(W1). W225–W231. 3 indexed citations
2.
Cameron, Connor, Alan Cleary, Joel Berendzen, et al.. (2022). Doing Genetic and Genomic Biology Using the Legume Information System and Associated Resources. Methods in molecular biology. 2443. 81–100. 4 indexed citations
3.
Rouard, Mathieu, et al.. (2022). Ten simple rules for developing visualization tools in genomics. PLoS Computational Biology. 18(11). e1010622–e1010622. 1 indexed citations
4.
Berendzen, Joel, Anne V. Brown, Connor Cameron, et al.. (2021). The legume information system and associated online genomic resources. Legume Science. 3(3). 13 indexed citations
5.
Mudge, Joann, et al.. (2019). Pangenome-Wide Association Studies with Frequented Regions. 627–632. 6 indexed citations
6.
Cleary, Alan, Thiruvarangan Ramaraj, Indika Kahanda, Joann Mudge, & Brendan Mumey. (2018). Exploring Frequented Regions in Pan-Genomic Graphs. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(5). 1424–1435. 6 indexed citations
7.
Cleary, Alan & Andrew Farmer. (2017). Genome Context Viewer: visual exploration of multiple annotated genomes using microsynteny. Bioinformatics. 34(9). 1562–1564. 19 indexed citations
8.
Dash, Sudhansu, Jacqueline Campbell, Ethalinda K. S. Cannon, et al.. (2015). Legume information system (LegumeInfo.org): a key component of a set of federated data resources for the legume family. Nucleic Acids Research. 44(D1). D1181–D1188. 115 indexed citations
9.
Cleary, Alan, et al.. (2015). Reactive Game Engine Programming for STEM Outreach. 628–632. 8 indexed citations
10.
Just, Seth, et al.. (2011). Information flow analysis for javascript. 9–18. 29 indexed citations
11.
Frank, Dale, Sergey Kalachikov, Alan Cleary, et al.. (1998). A single gene for human TRAF-3 at chromosome 14q32.3 encodes a variety of mRNA species by alternative polyadenylation, mRNA splicing and transcription initiation. Molecular Immunology. 35(18). 1189–1206. 14 indexed citations
12.
Cattoretti, Giorgio, Alan Cleary, Seth Lederman, et al.. (1997). Downregulation of BCL-6 gene expression by CD40 and EBV latent membrane protein-1 and its block in lymphoma carrying BCL-6 rearrangements. 1. 17515. 18 indexed citations
13.
Cleary, Alan, Sarah M. Fortune, Michael Yellin, Leonard Chess, & Seth Lederman. (1995). Opposing roles of CD95 (Fas/APO-1) and CD40 in the death and rescue of human low density tonsillar B cells. The Journal of Immunology. 155(7). 3329–3337. 65 indexed citations
14.
Lederman, Seth, Michael Yellin, Alan Cleary, et al.. (1994). T-BAM/CD40-L on helper T lymphocytes augments lymphokine-induced B cell Ig isotype switch recombination and rescues B cells from programmed cell death.. The Journal of Immunology. 152(5). 2163–2171. 105 indexed citations
15.
Lederman, Seth, Michael Yellin, Alan Cleary, Sarah M. Fortune, & Leonard Chess. (1994). The understanding of contact-dependent T-cell helper function in molecular, cellular and physiological detail. Research in Immunology. 145(3). 215–221. 5 indexed citations
16.
Yellin, Michael, Lori R. Covey, William H. Sherman, et al.. (1994). T lymphocyte T cell-B cell-activating molecule/CD40-L molecules induce normal B cells or chronic lymphocytic leukemia B cells to express CD80 (B7/BB-1) and enhance their costimulatory activity.. The Journal of Immunology. 153(2). 666–674. 118 indexed citations
17.
Lederman, Seth, Michael Yellin, Alan Cleary, Roy M. Gulick, & Leonard Chess. (1990). Recombinant, truncated CD4 molecule (rT4) binds IgG.. The Journal of Immunology. 144(1). 214–220. 6 indexed citations
18.
Allan, W, Zsuzsanna Tabi, Alan Cleary, & Peter C. Doherty. (1990). Cellular events in the lymph node and lung of mice with influenza. Consequences of depleting CD4+ T cells.. The Journal of Immunology. 144(10). 3980–3986. 304 indexed citations breakdown →
19.
Cleary, Alan. (1977). Instrumentation for psychology. Medical Entomology and Zoology. 5 indexed citations
20.
Cleary, Alan. (1966). A binocular parallax theory of the geometric illusions. Psychonomic Science. 5(6). 241–242. 3 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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