Sigal Pressman

735 total citations
13 papers, 565 citations indexed

About

Sigal Pressman is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Sigal Pressman has authored 13 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Genetics. Recurrent topics in Sigal Pressman's work include RNA Research and Splicing (3 papers), Inflammatory Bowel Disease (3 papers) and CRISPR and Genetic Engineering (2 papers). Sigal Pressman is often cited by papers focused on RNA Research and Splicing (3 papers), Inflammatory Bowel Disease (3 papers) and CRISPR and Genetic Engineering (2 papers). Sigal Pressman collaborates with scholars based in Israel, United States and Türkiye. Sigal Pressman's co-authors include Richard W. Carthew, Young Sik Lee, Xin Li, Kenji Nakahara, Jamie White, Do‐Hwan Lim, Kevin Kim, Jonathan Preall, Priya Bellare and Erik J. Sontheimer and has published in prestigious journals such as Cell, Gastroenterology and Nature Cell Biology.

In The Last Decade

Sigal Pressman

12 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sigal Pressman Israel 9 355 171 157 129 88 13 565
Margarida Gama‐Carvalho Portugal 16 661 1.9× 83 0.5× 155 1.0× 78 0.6× 40 0.5× 46 859
Volker Patzel Germany 14 681 1.9× 136 0.8× 128 0.8× 83 0.6× 72 0.8× 32 813
Nicole I. Orazio United States 7 587 1.7× 177 1.0× 74 0.5× 164 1.3× 99 1.1× 7 730
Kenneth Garson Canada 17 386 1.1× 209 1.2× 128 0.8× 123 1.0× 51 0.6× 28 708
Dawn O’Reilly United Kingdom 16 731 2.1× 94 0.5× 152 1.0× 146 1.1× 161 1.8× 19 952
Naoki Takizawa Japan 13 470 1.3× 78 0.5× 88 0.6× 190 1.5× 267 3.0× 33 751
Juliana Blin France 7 610 1.7× 109 0.6× 343 2.2× 156 1.2× 81 0.9× 7 778
Alicia Barroso‐delJesus Spain 15 739 2.1× 57 0.3× 239 1.5× 54 0.4× 74 0.8× 26 893
Hongchang Zhao China 16 524 1.5× 205 1.2× 119 0.8× 56 0.4× 44 0.5× 40 769
Angela Hadjipanayis United States 11 369 1.0× 156 0.9× 252 1.6× 80 0.6× 30 0.3× 14 598

Countries citing papers authored by Sigal Pressman

Since Specialization
Citations

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

Fields of papers citing papers by Sigal Pressman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sigal Pressman

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

All Works

13 of 13 papers shown
1.
2.
Hajjo, Haitham, Sigal Pressman, Yehuda Chowers, et al.. (2024). Inflammation and bacteriophages affect DNA inversion states and functionality of the gut microbiota. Cell Host & Microbe. 32(3). 322–334.e9. 32 indexed citations
3.
Starosvetsky, Elina, Renaud Gaujoux, Alexandra Blatt, et al.. (2023). A personalized network framework reveals predictive axis of anti-TNF response across diseases. Cell Reports Medicine. 5(1). 101300–101300. 5 indexed citations
4.
5.
Bar‐Yoseph, Haggai, Alexandra Blatt, Sigal Pressman, et al.. (2021). Differential Serum-intestinal Dynamics of Infliximab and Adalimumab in Inflammatory Bowel Disease Patients. Journal of Crohn s and Colitis. 16(6). 884–892. 3 indexed citations
6.
Bar‐Yoseph, Haggai, Sigal Pressman, Alexandra Blatt, et al.. (2019). Infliximab–Tumor Necrosis Factor Complexes Elicit Formation of Anti-Drug Antibodies. Gastroenterology. 157(5). 1338–1351.e8. 26 indexed citations
7.
Gaujoux, Renaud, Elina Starosvetsky, Francesco Vallania, et al.. (2018). Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD. Gut. 68(4). 604–614. 141 indexed citations
8.
Pressman, Sigal, et al.. (2017). Microprocessor Recruitment to Elongating RNA Polymerase II Is Required for Differential Expression of MicroRNAs. Cell Reports. 20(13). 3123–3134. 29 indexed citations
9.
Weisshof, Roni, Bella Ungar, Alexandra Blatt, et al.. (2016). Anti-infliximab Antibodies with Neutralizing Capacity in Patients with Inflammatory Bowel Disease. Inflammatory Bowel Diseases. 22(7). 1655–1661. 14 indexed citations
10.
Pressman, Sigal, Catherine Reinke, Xiaohong Wang, & Richard W. Carthew. (2012). A Systematic Genetic Screen to Dissect the MicroRNA Pathway inDrosophila. G3 Genes Genomes Genetics. 2(4). 437–448. 11 indexed citations
11.
Lee, Young Sik, Sigal Pressman, Kevin Kim, et al.. (2009). Silencing by small RNAs is linked to endosomal trafficking. Nature Cell Biology. 11(9). 1150–1156. 276 indexed citations
12.
Pressman, Sigal, Yanxia Bei, & Richard W. Carthew. (2007). SnapShot: Posttranscriptional Gene Silencing. Cell. 130(3). 570.e1–570.e2. 8 indexed citations
13.
Bei, Yanxia, Sigal Pressman, & Richard W. Carthew. (2007). SnapShot: Small RNA-Mediated Epigenetic Modifications. Cell. 130(4). 756.e1–756.e2. 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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