Naresh Kanumilli

1.0k citations
19 papers · 345 · h-index 9

Impact in

Papers in

Naresh Kanumilli

19 papers receiving 340 citations

Peers

Naresh Kanumilli
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 196
  • Medical Terminology 1
  • Nephrology 12
  • Genetics 46
  • Pharmacy 7
Replace Janet Yeow Hua Hong with:
Janet Yeow Hua Hong Malaysia
Shehla Baqai Pakistan
Osamah M. Alfayez Saudi Arabia
Samar Banerjee India
Viorel Șerban Romania
P. K. Hopkinson United Kingdom
Sopio Tatulashvili France
Boris Fishman Israel
Sana Mansoor United States
Ram Uma India
Naresh Kanumilli relative to Janet Yeow Hua Hong Malaysia Janet Yeow Hua Hong's profile →
Citations per field
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Janet Yeow Hua Hong · 1×
Citations per year

Countries citing papers authored by Naresh Kanumilli

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Kanumilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2022118
2 202159
3 202140
4 201836
5 202419
6 201916
7 202011
8 202110
9 20239
10 20248
11 20245
12 20233
13 20213
14 20192
15 20242
16 20241
17 20201
18 20221
19 20241

About Naresh Kanumilli

Naresh Kanumilli is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, General Health Professions and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 345 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Diabetes Management and Research (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Heart Failure Treatment and Management (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Chronic Disease Management Strategies (2 papers), Diet and metabolism studies (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (196 citations), Medical Terminology (1 citation), Nephrology (12 citations), Genetics (46 citations) and Pharmacy (7 citations). Naresh Kanumilli has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Hood Thabit, Lalantha Leelarathna, Emma G. Wilmot, Nicola Milne, Matthew Carr, Gerry Rayman, Matthew Burns, Womba Mubita, Parth Narendran and Iain Cranston. Their work appears in journals such as Diabetes Therapy, Diabetes Obesity and Metabolism, Diabetic Medicine, BMJ Open and BMJ Quality & Safety.

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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