Anil Mor

618 citations
18 papers · 429 · h-index 13

Impact in

Papers in

    • Diabetes Management and Research 5
    • Diabetes, Cardiovascular Risks, and Lipoproteins 4
    • Diabetes Management and Education 3
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 2
    • Diabetes Treatment and Management 2
    • Chronic Disease Management Strategies 2

Anil Mor

18 papers receiving 424 citations

Peers

Anil Mor
Comparison fields: 5 of 86
  • Applied Microbiology and Biotechnology 21
  • Endocrinology, Diabetes and Metabolism 116
  • Epidemiology 134
  • Rheumatology 37
  • Geriatrics and Gerontology 9
Replace J.A. Barker with:
J.A. Barker United Kingdom
Mostafa Alfishawy United States
Denis Chosidow France
Rui Huo China
José Medina‐Polo Spain
Kwok-Yi Chung Hong Kong
Marcelin Ngowe Ngowe Cameroon
Daniel A. Hofmaenner Switzerland
Francesco Bruno Italy
Chiu‐Ching Huang Taiwan
Anil Mor relative to J.A. Barker United Kingdom J.A. Barker's profile →
Citations per field
00.5×6.7×
J.A. Barker · 1×
Citations per year

Countries citing papers authored by Anil Mor

Since Specialization
Citations

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

Fields of papers citing papers by Anil Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201565
2 201755
3 201344
4 201635
5 201633
6 201525
7 201622
8 201522
9 201617
10 201516
11 201214
12 201414
13 201413
14 201412
15 201412
16 201311
17 201510
18 20189

About Anil Mor

Anil Mor is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Rheumatology, Genetics and Surgery, having authored 18 papers that have together received 429 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Education (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Diabetes and associated disorders (2 papers), Diabetes Treatment and Management (2 papers), Chronic Disease Management Strategies (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (21 citations), Endocrinology, Diabetes and Metabolism (116 citations), Epidemiology (134 citations), Rheumatology (37 citations) and Geriatrics and Gerontology (9 citations). Anil Mor has collaborated with scholars based in Denmark, Netherlands and Italy. Frequent co-authors include Reimar W. Thomsen, Henrik Toft Sørensen, Henning Beck‐Nielsen, Sinna Pilgaard Ulrichsen, Jens Steen Nielsen, Olaf M. Dekkers, Klára Berencsi, Irene Petersen, Alma B Pedersen and Elisabeth Svensson. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Clinical Epidemiology, Clinical Infectious Diseases, BMJ Open and Diabetic Medicine.

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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