Daniel Glikman

2.2k citations
59 papers · 766 · h-index 15

Impact in

Papers in

    • Pneumonia and Respiratory Infections 7
    • Preterm Birth and Chorioamnionitis 2
    • Antimicrobial Resistance in Staphylococcus 6
    • SARS-CoV-2 and COVID-19 Research 3

Daniel Glikman

51 papers receiving 736 citations

Peers

Daniel Glikman
Comparison fields: 5 of 78
  • Infectious Diseases 183
  • Molecular Medicine 50
  • Microbiology 60
  • Epidemiology 265
  • Drug Discovery 1
Replace Raffaele Del Prete with:
Raffaele Del Prete Italy
Jung Yeon Heo South Korea
Yeşim Taşova Türkiye
Gilat Livni Israel
Hee Jung Yoon South Korea
Emel Yılmaz Türkiye
Eda Kepenekli Türkiye
Eda Karadağ Öncel Türkiye
Robert R. Wittler United States
Emma Best New Zealand
Daniel Glikman relative to Raffaele Del Prete Italy Raffaele Del Prete's profile →
Citations per field
00.5×2×4×6×7×
Raffaele Del Prete · 1×
Citations per year

Countries citing papers authored by Daniel Glikman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Glikman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201397
2 202297
3 200872
4 201260
5 200652
6 200728
7 201024
8 200921
9 201518
10 202017
11 201717
12 200516
13 201915
14 200615
15 201014
16 201813
17 201513
18 202012
19 201612
20 202112

About Daniel Glikman

Daniel Glikman is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Surgery and Neurology, having authored 59 papers that have together received 766 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Streptococcal Infections and Treatments (5 papers), Long-Term Effects of COVID-19 (5 papers), COVID-19 and Mental Health (4 papers), Neonatal and Maternal Infections (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Preterm Birth and Chorioamnionitis (2 papers). The work is most often cited by research in Infectious Diseases (183 citations), Molecular Medicine (50 citations), Microbiology (60 citations), Epidemiology (265 citations) and Drug Discovery (1 citation). Daniel Glikman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Robert S. Daum, Lea Even, Irith Weissman, Susan Boyle‐Vavra, Michael David, Ron Dagan, Kamal Abu Jabal, Amiel A. Dror, Hiba Zayyad and Noga Givon‐Lavi. Their work appears in journals such as The Pediatric Infectious Disease Journal, Acta Paediatrica, American Journal of Obstetrics and Gynecology, PEDIATRICS and International Journal of Gynecology & Obstetrics.

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.

Explore authors with similar magnitude of impact