Haim Tsubery

911 citations
23 papers · 741 · h-index 15

Impact in

Papers in

    • Chemical Synthesis and Analysis 3
    • Prion Diseases and Protein Misfolding 3
    • Pneumocystis jirovecii pneumonia detection and treatment 4

Haim Tsubery

23 papers receiving 719 citations

Peers

Haim Tsubery
Comparison fields: 5 of 83
  • Molecular Medicine 168
  • Microbiology 167
  • Pharmaceutical Science 35
  • Pharmacology 87
  • Molecular Biology 352
Replace Jonggwan Park with:
Jonggwan Park South Korea
Gun‐Hwa Kim South Korea
Allen J. Duplantier United States
Giovanni Smaldone Italy
Yuko Takahashi Japan
Amit K. Galande United States
Susan Canny United States
Benjamin Bruno United States
Bárbara Gomes Portugal
Carlos Alberto-Silva Brazil
Haim Tsubery relative to Jonggwan Park South Korea Jonggwan Park's profile →
Citations per field
00.5×9.3×
Jonggwan Park · 1×
Citations per year

Countries citing papers authored by Haim Tsubery

Since Specialization
Citations

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

Fields of papers citing papers by Haim Tsubery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000140
2 200074
3 200261
4 200461
5 200448
6 200345
7 201445
8 200539
9 201636
10 200528
11 200827
12 200525
13 200423
14 200619
15 200817
16 200213
17 200611
18 20039
19 20178
20 20034

About Haim Tsubery

Haim Tsubery is a scholar working on Molecular Biology, Epidemiology, Molecular Medicine, Physiology and Microbiology, having authored 23 papers that have together received 741 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Antimicrobial Peptides and Activities (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Alzheimer's disease research and treatments (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Chemical Synthesis and Analysis (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Molecular Medicine (168 citations), Microbiology (167 citations), Pharmaceutical Science (35 citations), Pharmacology (87 citations) and Molecular Biology (352 citations). Haim Tsubery has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Mati Fridkin, Itzhak Ofek, Yoram Shechter, Miriam Eisenstein, Milan Mrksich, Tal Peleg‐Shulman, Sofiya Kolusheva, Marina Katz, A. Shames and Raz Jelinek. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Journal of Molecular Biology, Bioconjugate Chemistry and Current Alzheimer 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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