Iván D’Orso

3.4k citations

52 papers · 2.1k indexed · h-index 27

Impact in

Virology top 1%
- HIV Research and Treatment
Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics

Papers in

Virology 19
- HIV Research and Treatment 19
Molecular Biology 47
- RNA Research and Splicing 24
- Genomics and Chromatin Dynamics 13
- RNA modifications and cancer 12
- RNA and protein synthesis mechanisms 12
- CRISPR and Genetic Engineering 7
- RNA Interference and Gene Delivery 5

Co-authors: Alberto C.C. Frasch Alan D. Frankel Ryan P. McNamara Javier M. Di Noia Daniel O. Sánchez Jennifer L. McCann Javier G. De Gaudenzi Matthew D. Daugherty
Journals: Journal of Biological Chemistry (6 papers)Viruses (6 papers)Molecular Cell (4 papers)Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)
Partner nations: United States Argentina Peru

In The Last Decade

Iván D’Orso

50 papers receiving 2.0k citations

Peers

Countries citing papers authored by Iván D’Orso

Since Specialization

Citations

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

Fields of papers citing papers by Iván D’Orso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván D’Orso. 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 Iván D’Orso. The network helps show where Iván D’Orso may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Iván D’Orso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iván D’Orso Line = papers co-authored together Iván D’Orso links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	KAP1 negatively regulates RNA polymerase II elongation kinetics to activate signal-induced transcription Nature Communications ·Zhan Pen, G. Melnychuk, Micah Thornton, Tulip Nandu, W. Lee Kraus, Iván D’Orso	2024	0
2	HIV-1 Proviral Genome Engineering with CRISPR-Cas9 for Mechanistic Studies Viruses ·Zhan Pen, Ashutosh Shukla, G. Melnychuk, Iván D’Orso	2024	2
3	ARF alters PAF1 complex integrity to selectively repress oncogenic transcription programs upon p53 loss Molecular Cell ·Jinli Wang, 慎治武中, Ashutosh Shukla, Shwu‐Yuan Wu, G. Melnychuk, Jeon Lee, Łukasz A. Joachimiak, John D. Minna, Cheng-Ming Chiang, Seychelle M. Vos, Iván D’Orso	2024	0
4	Mathematical Models of HIV-1 Dynamics, Transcription, and Latency Viruses ·Iván D’Orso, Christian V. Forst	2023	8
5	The PNUTS-PP1 complex acts as an intrinsic barrier to herpesvirus KSHV gene expression and replication Nature Communications ·A. Napier, Ashutosh Shukla, Julio C. Ruiz, Spencer Barnes, Ehab Salah Showki Tous, Olga V. Hunter, Losavati Urucala NAIVALULEVU, Iván D’Orso, Nicholas K. Conrad	2022	4
6	ADAP1 promotes latent HIV-1 reactivation by selectively tuning KRAS–ERK–AP-1 T cell signaling-transcriptional axis Nature Communications ·Nora-Guadalupe P. Ramirez, Jeon Lee, Yue Zheng, Lianbo Li, William Rosendo Benítez-Cajo, Didi Chen, Thiago Da Silva, Vicente Planelles, Kenneth D. Westover, Neal M. Alto, Iván D’Orso	2022	6
7	KAP1 Is a Chromatin Reader that Couples Steps of RNA Polymerase II Transcription to Sustain Oncogenic Programs Molecular Cell ·Miladis Mejía Pérez, Thiago Da Silva, Zhan Pen, Ashutosh Shukla, Subin Chungath, Juan Bayo, Jiuyang Liu, Shwu-Yuan Wu, Cheng-Ming Chiang, Tatiana G. Kutateladze, Iván D’Orso	2020	31
8	CIPHER: a flexible and extensive workflow platform for integrative next-generation sequencing data analysis and genomic regulatory element prediction BMC Bioinformatics ·P. Backa, Iván D’Orso	2017	20
9	Tandem Affinity Purification of Protein Complexes from Eukaryotic Cells Journal of Visualized Experiments ·Zheng Ma, Victor Fung, Iván D’Orso	2017	7
10	7SKiing on chromatin: Move globally, act locally RNA Biology ·Iván D’Orso	2016	20
11	Genome-wide analysis of KAP1, the 7SK snRNP complex, and RNA polymerase II Genomics Data ·Ryan P. McNamara, P. Backa, Juan Carlos de López Bernaldo de Quirós, Iván D’Orso	2016	11
12	Transcription elongation control by the 7SK snRNP complex: Releasing the pause Cell Cycle ·Ryan P. McNamara, Miladis Mejía Pérez, Iván D’Orso	2016	30
13	Purification and characterization of HIV–human protein complexes Methods ·Stefanie Jäger, Natali Gulbahce, Peter Cimermančič, Lyda Chin, Nanhai He, Seemay Chou, Iván D’Orso, Jason D. Fernandes, Gwendolyn Μ. Jang, Alan D. Frankel, Tom Alber, Qiang Zhou, Nevan J. Krogan	2010	44
14	RNA-mediated displacement of an inhibitory snRNP complex activates transcription elongation Nature Structural & Molecular Biology ·Iván D’Orso, Alan D. Frankel	2010	105
15	A Solution to Limited Genomic Capacity: Using Adaptable Binding Surfaces to Assemble the Functional HIV Rev Oligomer on RNA Molecular Cell ·Matthew D. Daugherty, Iván D’Orso, Alan D. Frankel	2008	98
16	Insights into a CRM1-mediated RNA-nuclear export pathway in Trypanosoma cruzi Molecular and Biochemical Parasitology ·Ileana Cuevas, Alberto C.C. Frasch, Iván D’Orso	2004	16
17	Solution structure of the C‐terminal domain from poly(A)‐binding protein in Trypanosoma cruzi: A vegetal PABC domain Protein Science ·Nadeem Siddiqui, Guennadi Kozlov, Iván D’Orso, Jean‐François Trempe, Kalle Gehring	2003	14
18	TcUBP-1, an mRNA Destabilizing Factor from Trypanosomes, Homodimerizes and Interacts with Novel AU-rich Element- and Poly(A)-binding Proteins Forming a Ribonucleoprotein Complex Journal of Biological Chemistry ·Iván D’Orso, Alberto C.C. Frasch	2002	62
19	Functionally Different AU- and G-rich cis-Elements Confer Developmentally Regulated mRNA Stability inTrypanosoma cruzi by Interaction with Specific RNA-binding Proteins Journal of Biological Chemistry ·Iván D’Orso, Alberto C.C. Frasch	2001	44
20	AU-rich Elements in the 3′-Untranslated Region of a New Mucin-type Gene Family of Trypanosoma cruzi Confers mRNA Instability and Modulates Translation Efficiency Journal of Biological Chemistry ·Javier M. Di Noia, Iván D’Orso, Daniel O. Sánchez, Alberto C.C. Frasch	2000	119

About Iván D’Orso

Iván D’Orso is a scholar working on Virology, Molecular Biology, Immunology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (24 papers), HIV Research and Treatment (19 papers), Genomics and Chromatin Dynamics (13 papers), RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (12 papers), Trypanosoma species research and implications (10 papers), CRISPR and Genetic Engineering (7 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Virology (623 citations), Molecular Biology (1.4k citations), Immunology (383 citations), Epidemiology (610 citations) and Infectious Diseases (287 citations). Iván D’Orso has collaborated with scholars based in United States, Argentina and Peru. Frequent co-authors include Alberto C.C. Frasch, Alan D. Frankel, Ryan P. McNamara, Javier M. Di Noia, Daniel O. Sánchez, Jennifer L. McCann, Javier G. De Gaudenzi, Matthew D. Daugherty, Swapna Aravind Gudipaty and Nevan J. Krogan. Their work appears in journals such as Journal of Biological Chemistry, Viruses, Molecular Cell, Nature Communications and Proceedings of the National Academy of Sciences.

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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