Ran Nir‐Paz

5.4k citations
98 papers · 2.2k indexed · h-index 27

Ran Nir‐Paz

92 papers receiving 2.2k citations

Peers

Ran Nir‐Paz
Comparison fields: 5 of 122
  • Microbiology 606
  • Epidemiology 869
  • Infectious Diseases 449
  • Applied Microbiology and Biotechnology 42
  • Molecular Medicine 88
Replace Kazunori Oishi with:
Kazunori Oishi Japan
Mathew Diggle United Kingdom
Joseph M. Campos United States
José Yuste Spain
Takeshi Kinjo Japan
Dominic F. Kelly United Kingdom
Peter Tilley Canada
Athanasios Makristathis Austria
Daniela M. Ferreira United Kingdom
Sabine Pereyre France
Ran Nir‐Paz relative to Kazunori Oishi Japan Kazunori Oishi's profile →
Citations per field
00.5×
Kazunori Oishi · 1×
Citations per year

Countries citing papers authored by Ran Nir‐Paz

Since Specialization
Citations

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

Fields of papers citing papers by Ran Nir‐Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202513
2 20240
3 202329
4 20237
5 20230
6 20236
7 20228
8 20225
9 20217
10 20215
11 202147
12 202120
13 202151
14 20213
15 202022
16 202044
17 201910
18
A Case Series of Emergency Investigational New Drug Applications for Bacteriophages Treating Recalcitrant Multi-drug Resistant Bacterial Infections: Confirmed Safety and a Signal of Efficacy
201919
19 201426
20 200913

About Ran Nir‐Paz

Ran Nir‐Paz is a scholar working on Microbiology, Applied Microbiology and Biotechnology, Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microbial infections and disease research (27 papers), Bacteriophages and microbial interactions (22 papers), Pneumonia and Respiratory Infections (15 papers), Respiratory viral infections research (11 papers), Streptococcal Infections and Treatments (10 papers), Neonatal and Maternal Infections (8 papers), Genomics and Phylogenetic Studies (7 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Microbiology (606 citations), Epidemiology (869 citations), Infectious Diseases (449 citations), Applied Microbiology and Biotechnology (42 citations) and Molecular Medicine (88 citations). Ran Nir‐Paz has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Allon E. Moses, Colin Block, Carlos Hidalgo‐Grass, Nadejda Sigal, Anat A. Herskovits, Ilya Borovok, Ronen Hazan, Ayelet Michael-Gayego, Diana Averbuch and Dan Engelhard. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Clinical Microbiology, Emerging infectious diseases, Open Forum Infectious Diseases and Clinical Infectious Diseases.

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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