Motti Farbstein

499 citations
7 papers · 202 · h-index 5

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Calcium signaling and nucleotide metabolism

Papers in

    • Adenosine and Purinergic Signaling 5
    • Peptidase Inhibition and Analysis 1
    • Colorectal Cancer Screening and Detection 1

Motti Farbstein

7 papers receiving 189 citations

Peers

Motti Farbstein
Comparison fields: 5 of 45
  • Physiology 115
  • Hepatology 12
  • Oncology 37
  • Neurology 8
  • Molecular Biology 69
Replace Francesca R. Auciello with:
Francesca R. Auciello Italy
Brandon T. Hubbard United States
Libo Sun China
Michelle Solomon United States
Isabel Schulien Germany
Rachel S. Fletcher United Kingdom
Annina Lyly Finland
Madalina Duta-Mare Austria
Patrícia Janeiro Portugal
Sini Pirnes-Karhu Finland
Motti Farbstein relative to Francesca R. Auciello Italy Francesca R. Auciello's profile →
Citations per field
00.5×7.2×
Francesca R. Auciello · 1×
Citations per year

Countries citing papers authored by Motti Farbstein

Since Specialization
Citations

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

Fields of papers citing papers by Motti Farbstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201282
2 200652
3 202129
4 200126
5 20199
6 20242
7 20122

About Motti Farbstein

Motti Farbstein is a scholar working on Physiology, Oncology, Organic Chemistry, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 202 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (5 papers), Autoimmune and Inflammatory Disorders Research (1 paper), Click Chemistry and Applications (1 paper), Lung Cancer Treatments and Mutations (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), Hepatitis C virus research (1 paper), Peptidase Inhibition and Analysis (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Physiology (115 citations), Hepatology (12 citations), Oncology (37 citations), Neurology (8 citations) and Molecular Biology (69 citations). Motti Farbstein has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Pnina Fishman, Sara Bar‐Yehuda, Michael H. Silverman, Salomon M. Stemmer, Shira Cohen, Ofer Benjaminov, R. Patoka, William Kerns, Hanan Farbstein and Paul Rozen. Their work appears in journals such as Journal of Clinical Oncology, Arthritis Research & Therapy, The Oncologist, Alimentary Pharmacology & Therapeutics and Cancer.

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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