Orit Twito

535 citations
31 papers · 288 · h-index 10

Impact in

Papers in

Orit Twito

27 papers receiving 279 citations

Peers

Orit Twito
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 116
  • Immunology and Allergy 19
  • Speech and Hearing 10
  • Obstetrics and Gynecology 9
  • Pathology and Forensic Medicine 18
Replace Zelie Bailes with:
Zelie Bailes United States
Sol Carriazo Spain
Celestino Neves Portugal
Sophia Sakka Greece
Elisa Minaldi Italy
Hannah Gough Germany
Eman G. Behiry Egypt
Russell Oliver Kosik Taiwan
Marc Lilien Netherlands
Pierre Kleynen Belgium
Orit Twito relative to Zelie Bailes United States Zelie Bailes's profile →
Citations per field
00.5×2.7×
Zelie Bailes · 1×
Citations per year

Countries citing papers authored by Orit Twito

Since Specialization
Citations

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

Fields of papers citing papers by Orit Twito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201564
2 202027
3 201325
4 201824
5 201523
6 201916
7 201914
8 201613
9 201813
10 201310
11 20238
12 20217
13 20156
14 20245
15 20195
16 20234
17 20214
18 20204
19 20213
20 20203

About Orit Twito

Orit Twito is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Orthopedics and Sports Medicine and Hematology, having authored 31 papers that have together received 288 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Intraperitoneal and Appendiceal Malignancies (4 papers), Bone health and osteoporosis research (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Hip and Femur Fractures (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Dietary Effects on Health (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (116 citations), Immunology and Allergy (19 citations), Speech and Hearing (10 citations), Obstetrics and Gynecology (9 citations) and Pathology and Forensic Medicine (18 citations). Orit Twito has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Dan Nabriski, Simona Grozinsky‐Glasberg, Dania Hirsch, Martin Ellis, Sigal Levy, Carlos Benbassat, Keren Cohen, Anat Jaffe, Osnat Ashur‐Fabian and Gideon Bachar. Their work appears in journals such as Frontiers in Endocrinology, International Journal of Molecular Sciences, Thyroid, Endocrine Practice and The American Journal of Surgery.

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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