Noa Markovits

21 papers receiving 362 citations

Peers

Noa Markovits
Comparison fields: 5 of 83
  • Transplantation 32
  • Health Information Management 41
  • Biochemistry 35
  • Geriatrics and Gerontology 18
  • Nutrition and Dietetics 67
Replace Molouk Hadjibabaie with:
Molouk Hadjibabaie Iran
Khadijeh Makhdoomi Iran
Dylan Steen United States
HU Yong-fang China
Arka De India
Jeremy Dwight United Kingdom
Toby C. Trujillo United States
F. Agostini Italy
C. P. Swainson United Kingdom
Jean Sanderson United Kingdom
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Countries citing papers authored by Noa Markovits

Since Specialization
Citations

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

Fields of papers citing papers by Noa Markovits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201458
2
The effect of tomato-derived lycopene on low carotenoids and enhanced systemic inflammation and oxidation in severe obesity.
200952
3 201746
4 201845
5 201521
6 201719
7 200918
8
Implementation of a clinical decision support system for computerized drug prescription entries in a large tertiary care hospital.
201417
9 201216
10 201913
11 201911
12 20189
13 20207
14
"Body packers" in Israel: a case series.
20137
15
Anti-fibrotic characteristics of Vγ9+ γδ T cells in systemic sclerosis.
20177
16 20176
17 20186
18 20226
19 20214
20 20201

About Noa Markovits

Noa Markovits is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 21 papers that have together received 370 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Healthcare Technology and Patient Monitoring (2 papers), Electronic Health Records Systems (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Potassium and Related Disorders (2 papers). The work is most often cited by research in Transplantation (32 citations), Health Information Management (41 citations), Biochemistry (35 citations), Geriatrics and Gerontology (18 citations) and Nutrition and Dietetics (67 citations). Noa Markovits has collaborated with scholars based in Israel, Belgium and China. Frequent co-authors include Ronen Loebstein, Hillel Halkin, Daniel Kurnik, Ami Ben Amotz, Yishai Levy, Ilan Bank, Ari Shamiss, Amitai Ziv, Yael Peled and Eugenia Raichlin. Their work appears in journals such as British Journal of Clinical Pharmacology, Scientific Reports, Inflammopharmacology, International Journal of Cardiology and Thrombosis and Haemostasis.

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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