Nirupa Sachithanandan

868 citations
38 papers · 610 · h-index 11

Impact in

Papers in

    • Diabetes Management and Research 5
    • Hormonal Regulation and Hypertension 5
    • Diabetes Treatment and Management 4
    • Adrenal Hormones and Disorders 4
    • Pituitary Gland Disorders and Treatments 4
    • Adrenal and Paraganglionic Tumors 8

Nirupa Sachithanandan

32 papers receiving 595 citations

Peers

Nirupa Sachithanandan
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 124
  • Epidemiology 231
  • Neurology 95
  • Oncology 156
  • Clinical Biochemistry 33
Replace Yukihiro Nagai with:
Yukihiro Nagai Japan
Fatih Eren Türkiye
Oya Yönal Türkiye
Guangda Xiang China
Marcel G. M. Wolfs Netherlands
Georgios Kyriakopoulos Greece
Kazuhiro Nakatani Japan
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Citations per field
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Citations per year

Countries citing papers authored by Nirupa Sachithanandan

Since Specialization
Citations

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

Fields of papers citing papers by Nirupa Sachithanandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004118
2 201093
3 201483
4 201173
5 199748
6 201141
7 201924
8 201818
9 202016
10 201714
11 201511
12 201510
13 20208
14 20237
15 20216
16 20166
17 20235
18 20214
19 20243
20 20203

About Nirupa Sachithanandan

Nirupa Sachithanandan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Oncology and Neurology, having authored 38 papers that have together received 610 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (8 papers), Adrenal and Paraganglionic Tumors (8 papers), Diabetes Management and Research (5 papers), Hormonal Regulation and Hypertension (5 papers), Diabetes Treatment and Management (4 papers), Adrenal Hormones and Disorders (4 papers), Pituitary Gland Disorders and Treatments (4 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (124 citations), Epidemiology (231 citations), Neurology (95 citations), Oncology (156 citations) and Clinical Biochemistry (33 citations). Nirupa Sachithanandan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include John Burgess, Thomas W. H. Kay, Sandra Galić, Gregory R. Steinberg, Stacey Fynch, Jane Honeyman, Richard J. MacIsaac, David N. O’Neal, Kate L. Graham and Andrzej S. Januszewski. Their work appears in journals such as ANZ Journal of Surgery, The Journal of Clinical Endocrinology & Metabolism, Journal of Human Hypertension, Diabetes and The Lancet Diabetes & Endocrinology.

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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