Harsimran Singh

2.7k citations
61 papers · 1.9k · h-index 21

Impact in

Papers in

Harsimran Singh

56 papers receiving 1.9k citations

Peers

Harsimran Singh
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 800
  • Hepatology 350
  • Immunology 482
  • Epidemiology 592
  • Genetics 388
Replace Oslando Padilla with:
Oslando Padilla Chile
Raghavendra Rao India
Michal Cohen Israel
Khalid Benkhadra United States
Xiongce Zhao United States
Sarah Thomas United States
Neil Smith United Kingdom
Elaine Gale United Kingdom
Lars Nilsson Sweden
Kim Jachno Australia
Harsimran Singh relative to Oslando Padilla Chile Oslando Padilla's profile →
Citations per field
00.5×10×14.4×
Oslando Padilla · 1×
Citations per year

Countries citing papers authored by Harsimran Singh

Since Specialization
Citations

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

Fields of papers citing papers by Harsimran Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012269
2 2011238
3 2012220
4 2013154
5 2011129
6 2020103
7 2013102
8 201058
9 201257
10 201650
11 201547
12 201240
13 201637
14 200636
15 201332
16 202230
17 201429
18 201926
19 201422
20 201821

About Harsimran Singh

Harsimran Singh is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Genetics and Immunology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes Management and Research (28 papers), Diabetes Management and Education (16 papers), Diabetes and associated disorders (8 papers), Diabetes Treatment and Management (7 papers), Immune Cell Function and Interaction (6 papers), Pancreatic function and diabetes (6 papers), Gestational Diabetes Research and Management (5 papers) and Chronic Disease Management Strategies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (800 citations), Hepatology (350 citations), Immunology (482 citations), Epidemiology (592 citations) and Genetics (388 citations). Harsimran Singh has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mala K. Maini, Patrick Kennedy, Daniel J. Cox, Anna Schurich, Linda Gonder‐Frederick, Jane Speight, Dimitra Peppa, Upkar S. Gill, Clare Bradley and Shalleen Barendse. Their work appears in journals such as Diabetes, Diabetic Medicine, Diabetes Technology & Therapeutics, Diabetes Care and Current Diabetes Reports.

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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