Tania Singh

623 citations
37 papers · 334 · h-index 11

Impact in

Papers in

    • Pancreatic function and diabetes 13
    • Pancreatitis Pathology and Treatment 2
    • Pluripotent Stem Cells Research 4

Tania Singh

32 papers receiving 327 citations

Peers

Tania Singh
Comparison fields: 5 of 73
  • Surgery 136
  • Endocrinology, Diabetes and Metabolism 49
  • Genetics 55
  • Molecular Biology 121
  • Physiology 6
Replace Yoichi Inada with:
Yoichi Inada Japan
Zaniar Ghazizadeh Iran
Sima Asfa United States
Makoto Okabe Japan
J. Moessner Germany
Jeong Hwan Moon South Korea
Ulrich Becher Germany
Xiaochen Liu China
John R. Megill United States
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Citations per field
00.5×3.5×
Yoichi Inada · 1×
Citations per year

Countries citing papers authored by Tania Singh

Since Specialization
Citations

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

Fields of papers citing papers by Tania Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201947
2 201632
3 202127
4 201622
5 202020
6 200920
7 201920
8 201719
9 201916
10 201616
11 202215
12 200510
13 20199
14 20238
15 20188
16 20237
17 20236
18 20215
19 20193
20 20233

About Tania Singh

Tania Singh is a scholar working on Surgery, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 334 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (8 papers), Pluripotent Stem Cells Research (4 papers), Ultrasound and Hyperthermia Applications (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Pancreatitis Pathology and Treatment (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Surgery (136 citations), Endocrinology, Diabetes and Metabolism (49 citations), Genetics (55 citations), Molecular Biology (121 citations) and Physiology (6 citations). Tania Singh has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Isabella Artner, Vesna Zderic, Erik Renström, Cheng Luan, Malin Fex, Rashmi B. Prasad, Hindrik Mulder, Aleksandar Jeremić, Diti Chatterjee Bhowmick and Luis Rodrigo Cataldo. Their work appears in journals such as Journal of Ultrasound in Medicine, Journal of the American College of Cardiology, Scientific Reports, The Journal of the Acoustical Society of America and Development.

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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