Michael Halberthal

2.3k citations
40 papers · 880 · h-index 12

Impact in

Papers in

Michael Halberthal

36 papers receiving 840 citations

Peers

Michael Halberthal
Comparison fields: 5 of 89
  • Infectious Diseases 352
  • Modeling and Simulation 40
  • Pulmonary and Respiratory Medicine 245
  • Nephrology 51
  • Emergency Medical Services 45
Replace Henrik Døllner with:
Henrik Døllner Norway
Mario Saïa Italy
Guqin Zhang China
Line Heylen Belgium
Roshni Mathew United States
Sreedhar Adapa United States
Axel Heinemann Germany
Venu Madhav Konala United States
Sanjeev Bhoi India
Matthew J Saunders United Kingdom
Michael Halberthal relative to Henrik Døllner Norway Henrik Døllner's profile →
Citations per field
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Henrik Døllner · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020253
2 2001136
3 2021104
4 200185
5 199738
6 202137
7 200232
8 200017
9 201616
10 202215
11 202214
12 202112
13 201311
14 199811
15 202110
16 20209
17 20228
18 20218
19 20218
20 20037

About Michael Halberthal

Michael Halberthal is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Surgery, Oncology and Emergency Medical Services, having authored 40 papers that have together received 880 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Disaster Response and Management (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (3 papers), Respiratory Support and Mechanisms (2 papers), Hepatitis B Virus Studies (2 papers) and Hernia repair and management (2 papers). The work is most often cited by research in Infectious Diseases (352 citations), Modeling and Simulation (40 citations), Pulmonary and Respiratory Medicine (245 citations), Nephrology (51 citations) and Emergency Medical Services (45 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, Idan Yelin, Yael Mandel‐Gutfreund, Yuval Geffen, Tamar Hashimshony, Omer Shkedi, Amir Argoetti and Roy Kishony. Their work appears in journals such as Pediatric Nephrology, Clinical Microbiology and Infection, European Journal of Pediatrics, JAMA Oncology and Vaccines.

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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