Adi Guterman

672 citations
8 papers · 502 · h-index 6

Impact in

    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • RNA Research and Splicing 4
    • Ubiquitin and proteasome pathways 3
    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 2
    • Peptidase Inhibition and Analysis 3

Adi Guterman

8 papers receiving 494 citations

Peers

Adi Guterman
Comparison fields: 5 of 52
  • Molecular Biology 468
  • Cell Biology 101
  • Oncology 110
  • Cancer Research 43
  • Genetics 66
Replace C P with:
C P United States
Pedro Junior Nkosi United Kingdom
Barbara Kapelari Germany
Keiji Tanaka Japan
Thomas J. Siepmann United States
Patrick Schreiner Germany
Jianmei Zhu United States
Peter Kolesár Czechia
Thorsten Pfirrmann Germany
Tatiana G. Ortolan United States
Adi Guterman relative to C P United States C P's profile →
Citations per field
00.5×4.7×
C P · 1×
Citations per year

Countries citing papers authored by Adi Guterman

Since Specialization
Citations

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

Fields of papers citing papers by Adi Guterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Adi Guterman, 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 Adi Guterman Line = papers co-authored together Adi Guterman links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011137
2 2005121
3 2004119
4 200493
5 201417
6 200311
7 20242
8 20232

About Adi Guterman

Adi Guterman is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Biotechnology, having authored 8 papers that have together received 502 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Ubiquitin and proteasome pathways (3 papers), RNA modifications and cancer (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (2 papers), Autophagy in Disease and Therapy (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Molecular Biology (468 citations), Cell Biology (101 citations), Oncology (110 citations), Cancer Research (43 citations) and Genetics (66 citations). Adi Guterman has collaborated with scholars based in Israel, Spain and United Kingdom. Frequent co-authors include Michael H. Glickman, Mordechai Choder, Lea Duek, Oren Barkai, Barbara Kapelari, Kay Hofmann, Hartmut Scheel, Rüdiger Schade, Peter‐Michael Kloetzel and Wolfgang Dubiel. Their work appears in journals such as eLife, Current Protein and Peptide Science, Current Biology, Cell and PLoS ONE.

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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