Ran Furman

565 citations
16 papers · 492 · h-index 12

Impact in

  • Genetics top 10%
    • Bacterial Genetics and Biotechnology
    • Virus-based gene therapy research
    • RNA and protein synthesis mechanisms
    • Protein purification and stability
    • Bacterial biofilms and quorum sensing
    • Genomics and Chromatin Dynamics

Papers in

Ran Furman

16 papers receiving 485 citations

Peers

Ran Furman
Comparison fields: 5 of 41
  • Genetics 137
  • Molecular Biology 130
  • Physiology 31
  • Nutrition and Dietetics 14
  • Pharmaceutical Science 7
Replace Richa Rathor with:
Richa Rathor India
Nikita Hanning Belgium
Teita Asano Japan
Selena L. Rice United States
Fabrizio Merciai Italy
Haider Rasheed Alrafas United States
Xutong Li China
Irina N. Gladkikh Russia
Jiguo Zhang China
Karima Relizani France
Ran Furman relative to Richa Rathor India Richa Rathor's profile →
Citations per field
00.5×5×10.5×
Richa Rathor · 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

16 of 16 papers shown
#Work
1 201288
2 201883
3 201063
4 201142
5 202235
6 201233
7 201332
8 201624
9 201519
10 202119
11 202217
12 201014
13 20189
14 20197
15 20166
16 20201

About Ran Furman

Ran Furman is a scholar working on Genetics, Nutrition and Dietetics, Physiology, Reproductive Medicine and Molecular Biology, having authored 16 papers that have together received 492 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Alzheimer's disease research and treatments (3 papers), Fatty Acid Research and Health (2 papers), RNA and protein synthesis mechanisms (1 paper), Hypothalamic control of reproductive hormones (1 paper), Virus-based gene therapy research (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Genetics (137 citations), Molecular Biology (130 citations), Physiology (31 citations), Nutrition and Dietetics (14 citations) and Pharmaceutical Science (7 citations). Ran Furman has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Irina Artsimovitch, Paul H. Axelsen, Mikhail S. Shchepinov, Tao Pan, George A. Perdrizet, Tobin R. Sosnick, Oleg V. Tsodikov, Anastasiya Sevostyanova, Dmitry A. Rodionov and Valérie de Crécy‐Lagard. Their work appears in journals such as Neurobiology of Aging, ACS Chemical Neuroscience, Journal of Alzheimer s Disease, ACS Omega and Bioresource Technology.

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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