P. Cramer

2.3k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

P. Cramer is a scholar working on Molecular Biology, Immunology and Allergy and Reproductive Medicine. According to data from OpenAlex, P. Cramer has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Immunology and Allergy and 1 paper in Reproductive Medicine. Recurrent topics in P. Cramer's work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Interference and Gene Delivery (3 papers). P. Cramer is often cited by papers focused on RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Interference and Gene Delivery (3 papers). P. Cramer collaborates with scholars based in Argentina, United States and United Kingdom. P. Cramer's co-authors include Alberto R. Kornblihtt, Sebastián Kadener, Francisco E. Baralle, David L. Bentley, Manuel de la Mata, C. Gustavo Pesce, Juan Pablo Fededa, Matı́as Blaustein, Andrés F. Muro and Federico Pelisch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

P. Cramer

9 papers receiving 1.8k citations

Hit Papers

A Slow RNA Polymerase II Affects Alternative Splicing In ... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Cramer Argentina 9 1.5k 174 141 111 91 9 1.8k
Marc Thiry Belgium 17 707 0.5× 173 1.0× 96 0.7× 51 0.5× 98 1.1× 32 1.2k
Eran Rom Israel 17 1.1k 0.7× 85 0.5× 36 0.3× 58 0.5× 109 1.2× 31 1.4k
Noriko Hiraiwa Japan 17 545 0.4× 105 0.6× 167 1.2× 83 0.7× 312 3.4× 28 950
Sumedha G. Penheiter United States 10 992 0.6× 71 0.4× 90 0.6× 54 0.5× 262 2.9× 15 1.3k
John C. Hamel United States 15 1.1k 0.7× 236 1.4× 77 0.5× 55 0.5× 294 3.2× 20 1.7k
Peter K. Seperack United States 13 720 0.5× 179 1.0× 55 0.4× 85 0.8× 387 4.3× 16 1.1k
Azadeh Bagherzadeh United Kingdom 9 557 0.4× 93 0.5× 37 0.3× 142 1.3× 87 1.0× 9 824
A. Weydert France 12 991 0.6× 53 0.3× 45 0.3× 92 0.8× 112 1.2× 19 1.2k
Véronique Pizon France 16 814 0.5× 50 0.3× 81 0.6× 82 0.7× 354 3.9× 19 1.1k
Concepción Martínez Spain 19 1.6k 1.0× 114 0.7× 25 0.2× 51 0.5× 136 1.5× 28 1.9k

Countries citing papers authored by P. Cramer

Since Specialization
Citations

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

Fields of papers citing papers by P. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Cramer

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

All Works

9 of 9 papers shown
1.
Mata, Manuel de la, Claudio R. Alonso, Sebastián Kadener, et al.. (2003). A Slow RNA Polymerase II Affects Alternative Splicing In Vivo. Molecular Cell. 12(2). 525–532. 530 indexed citations breakdown →
2.
Nogués, Guadalupe, Sebastián Kadener, P. Cramer, et al.. (2003). Control of Alternative Pre‐mRNA Splicing by RNA Pol II Elongation: Faster is Not Always Better. IUBMB Life. 55(4-5). 235–241. 29 indexed citations
3.
Tasic, Bosiljka, Christoph E. Nabholz, Kristin K. Baldwin, et al.. (2002). Promoter Choice Determines Splice Site Selection in Protocadherin α and γ Pre-mRNA Splicing. Molecular Cell. 10(1). 21–33. 244 indexed citations
4.
Nogués, Guadalupe, Sebastián Kadener, P. Cramer, David L. Bentley, & Alberto R. Kornblihtt. (2002). Transcriptional Activators Differ in Their Abilities to Control Alternative Splicing. Journal of Biological Chemistry. 277(45). 43110–43114. 149 indexed citations
5.
Cramer, P., Anabella Srebrow, Sebastián Kadener, et al.. (2001). Coordination between transcription and pre‐mRNA processing. FEBS Letters. 498(2-3). 179–182. 72 indexed citations
6.
Cramer, P., Javier F. Cáceres, Demián Cazalla, et al.. (1999). Coupling of Transcription with Alternative Splicing. Molecular Cell. 4(2). 251–258. 252 indexed citations
7.
Cramer, P., C. Gustavo Pesce, Francisco E. Baralle, & Alberto R. Kornblihtt. (1997). Functional association between promoter structure and transcript alternative splicing. Proceedings of the National Academy of Sciences. 94(21). 11456–11460. 266 indexed citations
8.
Kornblihtt, Alberto R., Covadonga Alonso, P. Cramer, et al.. (1996). The fibronectin gene as a model for splicing and transcription studies. The FASEB Journal. 10(2). 248–257. 173 indexed citations
9.
Joesoef, M R, Valerie Beral, Robert T. Rolfs, Sevgi O. Aral, & P. Cramer. (1990). Are caffeinated beverages risk factors for delayed conception?. The Lancet. 335(8682). 136–137. 70 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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