Rebecca Haffner

2.8k citations
15 papers · 2.3k indexed · 1 hit paper · h-index 12
Topics
Cancer-related Molecular Pathways (6 papers)Cancer Research and Treatments (4 papers)RNA modifications and cancer (3 papers)

In The Last Decade

Rebecca Haffner

14 papers receiving 2.3k citations

Hit Papers

mdm2 expression is induced by wild type p53 activity.199320262004201519932505007501000

Peers

Rebecca Haffner
Comparison fields: 5 of 90
  • Molecular Biology 1.8k
  • Oncology 1.4k
  • Biotechnology 383
  • Cancer Research 336
  • Immunology 239
Replace Elisheva Yonish-Rouach with:
Elisheva Yonish-Rouach France
Christine A. Jost United States
Stewart Bates United States
Toshiki Mori Japan
Alison Sparks United Kingdom
J. Wade Harper United States
Mark K. Saville United Kingdom
Yunping Lin Canada
Charanjit Sandhu Canada
Steven J. Kuerbitz United States
Rebecca Haffner relative to Elisheva Yonish-Rouach France Elisheva Yonish-Rouach's profile →
Citations per field
00.5×3.7×
Elisheva Yonish-Rouach · 1×
Citations per year

Countries citing papers authored by Rebecca Haffner

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Haffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Haffner

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 2
3 15
4 62
5 301
6 77
7
Neu differentiation factor (Heregulin) activates a p53-dependent pathway in cancer cells.
50
8 150
9 140
10 201
11 43
12 146
13 35
14
mdm2 expression is induced by wild type p53 activity.breakdown →
1079
15 1

About Rebecca Haffner

Rebecca Haffner is a scholar working on Biotechnology, Oncology and Molecular Biology, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Oncology (1.4k citations), Biotechnology (383 citations) and Molecular Biology (1.8k citations). Rebecca Haffner has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Moshe Oren, Yaacov Barak, E. T. Stuart, Eyal Gottlieb, Erwin F. Wagner, T von Rüden, Nir Yogev, Ari Waisman, Ori Brenner and Parameswaran Ramakrishnan. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The Journal of Immunology.

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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