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.
NF-κB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses
20063.6k citationsKonstantin D. Taganov, Mark Boldin et al.Proceedings of the National Academy of Sciencesprofile →
An Essential Role for NF-κB in Preventing TNF-α-Induced Cell Death
19962.7k citationsDavid Baltimore et al.Scienceprofile →
Countries citing papers authored by David Baltimore
Since
Specialization
Citations
This map shows the geographic impact of David Baltimore'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 Baltimore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Baltimore more than expected).
This network shows the impact of papers produced by David Baltimore. 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 Baltimore. The network helps show where David Baltimore may publish in the future.
Co-authorship network of co-authors of David Baltimore
This figure shows the co-authorship network connecting the top 25 collaborators of David Baltimore.
A scholar is included among the top collaborators of David Baltimore 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 Baltimore. David Baltimore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Boldin, Mark, Konstantin D. Taganov, Dinesh S. Rao, et al.. (2011). miR-146a is a significant brake on autoimmunity, myeloproliferation, and cancer in mice. The Journal of Experimental Medicine. 208(6). 1189–1201.704 indexed citations breakdown →
6.
Bloom, Jesse D., et al.. (2010). Permissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistance. Science. 328(5983). 1272–1275.511 indexed citations breakdown →
O’Connell, Ryan M., Aadel A. Chaudhuri, Dinesh S. Rao, & David Baltimore. (2009). Inositol phosphatase SHIP1 is a primary target of miR-155. Proceedings of the National Academy of Sciences. 106(17). 7113–7118.691 indexed citations breakdown →
9.
O’Connell, Ryan M., Konstantin D. Taganov, Mark Boldin, Genhong Cheng, & David Baltimore. (2007). MicroRNA-155 is induced during the macrophage inflammatory response. Proceedings of the National Academy of Sciences. 104(5). 1604–1609.1552 indexed citations breakdown →
Hoffmann, Alexander, Andre Levchenko, Martin Scott, & David Baltimore. (2002). The IκB-NF-κB Signaling Module: Temporal Control and Selective Gene Activation. Science. 298(5596). 1241–1245.1477 indexed citations breakdown →
13.
Lois, Carlos, Elizabeth J. Hong, Shirley Pease, Eric J. Brown, & David Baltimore. (2002). Germline Transmission and Tissue-Specific Expression of Transgenes Delivered by Lentiviral Vectors. Science. 295(5556). 868–872.1635 indexed citations breakdown →
14.
Baltimore, David. (2001). How biology became an information science. McGraw-Hill, Inc. eBooks. 43–55.7 indexed citations
Baltimore, David. (1995). Thinking about Howard Temin.. Genes & Development. 9(11). 1303–1307.4 indexed citations
18.
Ghosh, Sankar & David Baltimore. (1990). Activation in vitro of NF-κB" by phosphorylation of its inhibitor IκB". Nature. 344(6267). 678–682.1077 indexed citations breakdown →
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.
You can learn more about the impact of David Baltimore by visiting their Pantheon page.