Maya Gips

474 citations
17 papers · 391 · h-index 11

Impact in

Papers in

Maya Gips

17 papers receiving 370 citations

Peers

Maya Gips
Comparison fields: 5 of 50
  • Pulmonary and Respiratory Medicine 148
  • Anesthesiology and Pain Medicine 26
  • Oncology 74
  • Dermatology 23
  • Pharmacology 19
Replace Daniel Galandi with:
Daniel Galandi Germany
Juan Antonio Martínez-López Spain
Hiroyuki Masuko Japan
V. Minotti Italy
Nitin Sukumar United States
Adam T. Phillips United States
Hiren A. Mandaliya Australia
Valerie A. Francescutti United States
Jackie Thirlwell Switzerland
Shiying Kong Canada
Maya Gips relative to Daniel Galandi Germany Daniel Galandi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maya Gips

Since Specialization
Citations

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

Fields of papers citing papers by Maya Gips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200489
2 201343
3 201743
4 199835
5 200731
6 200827
7 200522
8 200519
9 198818
10 201316
11 200515
12 201810
13
Improved survival with surgery and systemic chemotherapy for undifferentiated embryonal sarcoma of the liver.
20056
14
Hyperthermia and liposomal encapsulated doxorubicin.
20035
15 20145
16
Acalculous Candida cholecystitis.
19924
17 20003

About Maya Gips

Maya Gips is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 17 papers that have together received 391 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Pain Management and Opioid Use (2 papers), Epilepsy research and treatment (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), Vascular Tumors and Angiosarcomas (1 paper), Ultrasound and Hyperthermia Applications (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (148 citations), Anesthesiology and Pain Medicine (26 citations), Oncology (74 citations), Dermatology (23 citations) and Pharmacology (19 citations). Maya Gips has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Tal Grenader, Alberto Gabizón, Tamar Peretz, Orit Pappo, Ahmed Eid, Sivan Lieberman, Yair Edden, Gidon Almogy, B. Simon Slasky and Oded Jurim. Their work appears in journals such as Anti-Cancer Drugs, Supportive Care in Cancer, Lung Cancer, Value in Health and Lung.

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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