Ran Furman

594 citations
17 papers · 480 · h-index 12

Impact in

    • Bacterial Genetics and Biotechnology
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Bacterial biofilms and quorum sensing

Papers in

    • RNA and protein synthesis mechanisms 4
    • Metabolomics and Mass Spectrometry Studies 3
    • Protein purification and stability 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Bacterial Genetics and Biotechnology 5

Ran Furman

17 papers receiving 478 citations

Peers

Ran Furman
Comparison fields: 5 of 77
  • Genetics 152
  • Molecular Biology 329
  • Biological Psychiatry 10
  • Biochemistry 27
  • Nutrition and Dietetics 54
Replace Li Zha with:
Li Zha United States
Anne‐Gaëlle Planson France
Francesco Del Carratore United Kingdom
Thorsten Keller Germany
Wenbo Chen China
Mathew Sajish United States
Tae‐Yang Jung South Korea
Micol Falabella Italy
Der‐Yen Lee Taiwan
Maud Heuillet France
Ran Furman relative to Li Zha United States Li Zha's profile →
Citations per field
00.5×3.9×
Li Zha · 1×
Citations per year

Countries citing papers authored by Ran Furman

Since Specialization
Citations

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

Fields of papers citing papers by Ran Furman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201288
2 201874
3 201063
4 201143
5 201234
6 202232
7 201331
8 201623
9 201518
10 202116
11 202216
12 201012
13 20189
14 20197
15 20217
16 20166
17 20201

About Ran Furman

Ran Furman is a scholar working on Molecular Biology, Genetics, Nutrition and Dietetics, Physiology and Biochemistry, having authored 17 papers that have together received 480 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Fatty Acid Research and Health (2 papers), Trace Elements in Health (2 papers), Protein purification and stability (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (152 citations), Molecular Biology (329 citations), Biological Psychiatry (10 citations), Biochemistry (27 citations) and Nutrition and Dietetics (54 citations). Ran Furman has collaborated with scholars based in United States, Germany and Grenada. Frequent co-authors include Irina Artsimovitch, Paul H. Axelsen, Mikhail S. Shchepinov, Tobin R. Sosnick, George A. Perdrizet, Tao Pan, Anastasiya Sevostyanova, Oleg V. Tsodikov, Crysten E. Blaby‐Haas and Valérie de Crécy‐Lagard. Their work appears in journals such as Neurobiology of Aging, Journal of Alzheimer s Disease, Bioresource Technology, Free Radical Biology and Medicine and Nucleic Acids Research.

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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