Saskia Ting

1.5k citations
73 papers · 898 indexed · h-index 19

Impact in

Papers in

Saskia Ting

68 papers receiving 883 citations

Peers

Saskia Ting
Comparison fields: 5 of 109
  • Endocrinology, Diabetes and Metabolism 184
  • Oncology 301
  • Pulmonary and Respiratory Medicine 296
  • Cancer Research 136
  • Health Informatics 6
Replace Zhen Qu with:
Zhen Qu China
Ning Qu China
Feng‐Ming Hsu Taiwan
Aleck Hercbergs United States
Lei Zhu China
Tihana Ibrahimpašić United States
Stefania Scarpino Italy
Ji Shin Lee South Korea
Laurie L. Carr United States
Hiroki Odagiri Japan
Saskia Ting relative to Zhen Qu China Zhen Qu's profile →
Citations per field
00.5×2.6×
Zhen Qu · 1×
Citations per year

Countries citing papers authored by Saskia Ting

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20236
5 20230
6 20233
7 20236
8 202231
9 202219
10 20217
11 20209
12 20209
13 20188
14 20161
15 20159
16 201511
17 20155
18 201337
19 201221
20 20103

About Saskia Ting

Saskia Ting is a scholar working on Ophthalmology, Endocrinology, Diabetes and Metabolism, Oncology, Pulmonary and Respiratory Medicine and Anatomy, having authored 73 papers that have together received 898 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Neuroendocrine Tumor Research Advances (13 papers), Ocular Oncology and Treatments (11 papers), Lung Cancer Treatments and Mutations (10 papers), Cancer-related Molecular Pathways (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Research Studies (6 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (184 citations), Oncology (301 citations), Pulmonary and Respiratory Medicine (296 citations), Cancer Research (136 citations) and Health Informatics (6 citations). Saskia Ting has collaborated with scholars based in Germany, Greece and Hungary. Frequent co-authors include Kurt Werner Schmid, Fabian Mairinger, Jeremias Wohlschlaeger, Robert Walter, Daniel C. Christoph, Claudia Vollbrecht, Thomas Hager, Dirk Theegarten, Lars C. Moeller and Vera Tiedje. Their work appears in journals such as Cancers, Oncotarget, Experimental and Clinical Endocrinology & Diabetes, Scientific Reports and Lung Cancer.

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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