Tal Schiller

579 citations
28 papers · 319 · h-index 10

Impact in

Papers in

Tal Schiller

24 papers receiving 316 citations

Peers

Tal Schiller
Comparison fields: 5 of 80
  • Hematology 55
  • Endocrinology, Diabetes and Metabolism 66
  • Infectious Diseases 50
  • Internal Medicine 10
  • Immunology 55
Replace Asha Shah with:
Asha Shah India
Zsuzsanna Wolf Germany
Aline de Nooijer Netherlands
Nishant Raizada India
Ding Long China
Rajan Kapoor India
Jessica E. Murray United States
Bengt von Zur‐Mühlen Sweden
Muhidien Jouma Syria
Ajay Gupta India
Tal Schiller relative to Asha Shah India Asha Shah's profile →
Citations per field
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Asha Shah · 1×
Citations per year

Countries citing papers authored by Tal Schiller

Since Specialization
Citations

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

Fields of papers citing papers by Tal Schiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201366
2 202057
3 201627
4 201926
5 201625
6 201322
7 201818
8 202112
9 201311
10 202010
11 20237
12 20226
13 20206
14 20225
15 20235
16 20164
17 20214
18 20212
19 20251
20 20221

About Tal Schiller

Tal Schiller is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Immunology, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology, having authored 28 papers that have together received 319 indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (6 papers), Complement system in diseases (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Gestational Diabetes Research and Management (4 papers), Thyroid Disorders and Treatments (3 papers), Diabetes Management and Research (3 papers), Pregnancy and preeclampsia studies (3 papers) and Mobile Health and mHealth Applications (3 papers). The work is most often cited by research in Hematology (55 citations), Endocrinology, Diabetes and Metabolism (66 citations), Infectious Diseases (50 citations), Internal Medicine (10 citations) and Immunology (55 citations). Tal Schiller has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Chava Kimchi‐Sarfaty, Nobuko Hamasaki‐Katagiri, Ryan Hunt, Mansoor A. Khan, Zuben E. Sauna, Hilla Knobler, Chen Yanover, Upendra Katneni, Juan C. Ibla and Paul W. Buehler. Their work appears in journals such as Blood, International Journal of Environmental Research and Public Health, Endocrine Practice, Frontiers in Endocrinology and British Journal of Haematology.

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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