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.
miR-15 and miR-16 induce apoptosis by targeting BCL2
20052.8k citationsAmelia Cimmino, George A. Calin et al.Proceedings of the National Academy of Sciencesprofile →
MicroRNA-29 family reverts aberrant methylation in lung cancer by targeting DNA methyltransferases 3A and 3B
20071.3k citationsMuller Fabbri, Ramiro Garzon et al.Proceedings of the National Academy of Sciencesprofile →
MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response
20121.3k citationsMuller Fabbri, Alessio Paone et al.Proceedings of the National Academy of Sciencesprofile →
MicroRNA Signatures in Human Ovarian Cancer
20071.2k citationsMarilena V. Iorio, Rosa Visone et al.Cancer Researchprofile →
MicroRNA profiling reveals distinct signatures in B cell chronic lymphocytic leukemias
20041.0k citationsGeorge A. Calin, Chang‐Gong Liu et al.Proceedings of the National Academy of Sciencesprofile →
MicroRNA Expression Patterns to Differentiate Pancreatic Adenocarcinoma From Normal Pancreas and Chronic Pancreatitis
2007939 citationsMark Bloomston, Wendy L. Frankel et al.JAMAprofile →
A MicroRNA Signature of Hypoxia
2006890 citationsRitu Kulshreshtha, Manuela Ferracin et al.Molecular and Cellular Biologyprofile →
An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues
2004754 citationsChang‐Gong Liu, George A. Calin et al.Proceedings of the National Academy of Sciencesprofile →
The t(4;11) chromosome translocation of human acute leukemias fuses the ALL-1 gene, related to Drosophila trithorax, to the AF-4 gene
1992734 citationsTatsuya Nakamura, Hansjüerg Alder et al.profile →
E2F1-Regulated MicroRNAs Impair TGFβ-Dependent Cell-Cycle Arrest and Apoptosis in Gastric Cancer
2008719 citationsFabio Petrocca, Rosa Visone et al.profile →
Relation between microRNA expression and progression and prognosis of gastric cancer: a microRNA expression analysis
2009679 citationsStefano Volinia, Masayoshi Shimizu et al.profile →
MiR-15a and miR-16-1 cluster functions in human leukemia
2008607 citationsGeorge A. Calin, Amelia Cimmino et al.Proceedings of the National Academy of Sciencesprofile →
The detection of differentially expressed microRNAs from the serum of ovarian cancer patients using a novel real-time PCR platform
2008539 citationsHansjüerg Alder, John P. Hagan et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Hansjüerg Alder
Since
Specialization
Citations
This map shows the geographic impact of Hansjüerg Alder'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 Hansjüerg Alder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hansjüerg Alder more than expected).
This network shows the impact of papers produced by Hansjüerg Alder. 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 Hansjüerg Alder. The network helps show where Hansjüerg Alder may publish in the future.
Co-authorship network of co-authors of Hansjüerg Alder
This figure shows the co-authorship network connecting the top 25 collaborators of Hansjüerg Alder.
A scholar is included among the top collaborators of Hansjüerg Alder 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 Hansjüerg Alder. Hansjüerg Alder is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fabbri, Muller, Alessio Paone, Federica Calore, et al.. (2012). MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response. Proceedings of the National Academy of Sciences. 109(31). E2110–6.1284 indexed citations breakdown →
Iorio, Marilena V., Rosa Visone, Gianpiero Di Leva, et al.. (2007). MicroRNA Signatures in Human Ovarian Cancer. Cancer Research. 67(18). 8699–8707.1199 indexed citations breakdown →
Bloomston, Mark, Wendy L. Frankel, Fabio Petrocca, et al.. (2007). MicroRNA Expression Patterns to Differentiate Pancreatic Adenocarcinoma From Normal Pancreas and Chronic Pancreatitis. JAMA. 297(17). 1901–1901.939 indexed citations breakdown →
Kulshreshtha, Ritu, Manuela Ferracin, Sylwia E. Wojcik, et al.. (2006). A MicroRNA Signature of Hypoxia. Molecular and Cellular Biology. 27(5). 1859–1867.890 indexed citations breakdown →
14.
Cimmino, Amelia, George A. Calin, Muller Fabbri, et al.. (2005). miR-15 and miR-16 induce apoptosis by targeting BCL2. Proceedings of the National Academy of Sciences. 102(39). 13944–13949.2787 indexed citations breakdown →
Kuroki, Tamotsu, Francesco Trapasso, Sai Yendamuri, et al.. (2003). Allele loss and promoter hypermethylation of VHL, RAR-beta, RASSF1A, and FHIT tumor suppressor genes on chromosome 3p in esophageal squamous cell carcinoma.. PubMed. 63(13). 3724–8.127 indexed citations
17.
Ishii, Hideshi, Kristoffel R. Dumon, Andrea Vecchione, et al.. (2001). Effect of adenoviral transduction of the fragile histidine triad gene into esophageal cancer cells.. PubMed. 61(4). 1578–84.87 indexed citations
18.
Mori, Masaki, Koshi Mimori, Takuya Shiraishi, et al.. (2000). Altered expression of Fhit in carcinoma and precarcinomatous lesions of the esophagus.. PubMed. 60(5). 1177–82.113 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.