Rony Seger

28.0k citations
206 papers · 22.2k indexed · 8 hit papers · h-index 70

Rony Seger

206 papers receiving 21.9k citations

Hit Papers

The MAP Kinase Signaling Cascades: A System ...468199520262005201550010001.5k2.0k2.5k

Peers

Rony Seger
Comparison fields: 5 of 149
  • Molecular Biology 14.9k
  • Cell Biology 3.1k
  • Oncology 4.2k
  • Cellular and Molecular Neuroscience 2.7k
  • Aging 249
Replace Tetsuo Noda with:
Tetsuo Noda Japan
Makoto M. Taketo Japan
Yukiko Gotoh Japan
Tetsu Akiyama Japan
Melanie H. Cobb United States
Lewis T. Williams United States
Yoshihide Tsujimoto Japan
Hong‐Gang Wang United States
Rolf Müller Germany
Ushio Kikkawa Japan
Rony Seger relative to Tetsuo Noda Japan Tetsuo Noda's profile →
Citations per field
00.5×1.6×
Tetsuo Noda · 1×
Citations per year

Countries citing papers authored by Rony Seger

Since Specialization
Citations

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

Fields of papers citing papers by Rony Seger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rony Seger, 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 Rony Seger Line = papers co-authored together Rony Seger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20245
3 201925
4 20135
5 201347
6 201028
7 200789
8 20076
9 20075
10 2007119
11
The extracellular signal-regulated kinase: Multiple substrates regulate diverse cellular functionsbreakdown →
2006989
12 20055
13 200453
14 20045
15 200480
16 1998113
17
Diversification of Neu differentiation factor and epidermal growth factor signaling by combinatorial receptor interactions.breakdown →
1996645
18 199542
19 199544
20 199552

About Rony Seger

Rony Seger is a scholar working on Cell Biology, Molecular Biology, Reproductive Medicine, Oncology and Aging, having authored 206 papers that have together received 22.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (70 papers), Melanoma and MAPK Pathways (68 papers), Cellular Mechanics and Interactions (21 papers), PI3K/AKT/mTOR signaling in cancer (18 papers), Estrogen and related hormone effects (15 papers), Hypothalamic control of reproductive hormones (15 papers), Cell death mechanisms and regulation (14 papers) and Microtubule and mitosis dynamics (10 papers). The work is most often cited by research in Molecular Biology (14.9k citations), Cell Biology (3.1k citations), Oncology (4.2k citations), Cellular and Molecular Neuroscience (2.7k citations) and Aging (249 citations). Rony Seger has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Edwin G. Krebs, Seunghee Yoon, Yoav D. Shaul, Hadara Rubinfeld, Zvi Naor, Ben‐Zion Shilo, A.N. Plotnikov, Inbal Wortzel, Eldar Zehorai and Dana Chuderland. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Endocrinology, Scientific Reports and Oncogene.

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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