Michael Halberthal

2.3k citations
42 papers · 1.6k · h-index 12

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing

Papers in

Michael Halberthal

39 papers receiving 1.5k citations

Peers

Michael Halberthal
Comparison fields: 5 of 97
  • Physiology 548
  • Infectious Diseases 397
  • Rheumatology 259
  • Modeling and Simulation 43
  • Pulmonary and Respiratory Medicine 272
Replace Baba P. D. Inusa with:
Baba P. D. Inusa United Kingdom
Paolo Silvani Italy
June Hong Ahn South Korea
Camilla Tøndel Norway
Katsunori Masaki Japan
Louise McCormack Australia
Thomas Jürgen Bahmer Germany
Bita Shakoory United States
Magnus Carl Sköld Sweden
Jonathan Whiteside United Kingdom
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Citations per field
00.5×5×10.8×
Baba P. D. Inusa · 1×
Citations per year

Countries citing papers authored by Michael Halberthal

Since Specialization
Citations

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

Fields of papers citing papers by Michael Halberthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006651
2 2020284
3 2001146
4 2021121
5 200190
6 202145
7 199738
8 200232
9 200018
10 201615
11 202214
12 202214
13 199812
14 202112
15 202111
16 201311
17 202110
18 20229
19 20219
20 20209

About Michael Halberthal

Michael Halberthal is a scholar working on Infectious Diseases, Emergency Medical Services, Emergency Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Disaster Response and Management (6 papers), COVID-19 Clinical Research Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), COVID-19 and healthcare impacts (3 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Trauma and Emergency Care Studies (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Physiology (548 citations), Infectious Diseases (397 citations), Rheumatology (259 citations), Modeling and Simulation (43 citations) and Pulmonary and Respiratory Medicine (272 citations). Michael Halberthal has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Moran Szwarcwort‐Cohen, Gad Bar‐Joseph, Raphael Beck, Yael Mandel‐Gutfreund, Idan Yelin, Amir Argoetti, Yuval Geffen, Einat Shaer Tamar, Roy Kishony and Tamar Hashimshony. Their work appears in journals such as JAMA Oncology, European Journal of Pediatrics, Clinical Microbiology and Infection, Vaccines and Pediatric Nephrology.

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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