Nirja Kaka

26 papers receiving 403 citations

Nirja Kaka's Hit Papers

Type 1 Diabetes Mellitus and Autoimmune Diseases: A Critical Review of the Association and the Application of Personalized Medicine 2023 · 97 citations
970+1+2Years since publication255075

Peers

Nirja Kaka
Comparison fields: 5 of 80
  • Health Informatics 21
  • Endocrinology, Diabetes and Metabolism 51
  • Epidemiology 53
  • Cardiology and Cardiovascular Medicine 37
  • Health Information Management 13
Replace Neil S Patel with:
Neil S Patel India
Zuzanna J. Drebert Belgium
Jakob Steinfeldt Germany
Deepak Rohit Jadon United Kingdom
Enrica Cipriano Italy
Pingping Jia China
Preeti Singh India
Colton J. Smith United States
Kateřina Štechová Czechia
Rafael Y. Brzezinski Israel
Nirja Kaka relative to Neil S Patel India Neil S Patel's profile →
Citations per field
00.5×1.5×
Neil S Patel · 1×
Citations per year

Countries citing papers authored by Nirja Kaka

Since Specialization
Citations

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

Fields of papers citing papers by Nirja Kaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Type 1 Diabetes Mellitus and Autoimmune Diseases: A Critical Review of the Association and the Application of Personalized Medicine
Hit paper breakdown →
202397
2 202374
3 202348
4 202329
5 202225
6 202218
7 202217
8 202316
9 202114
10 202212
11 202311
12 20229
13 20227
14 20237
15 20225
16 20235
17 20235
18 20245
19 20255
20 20224

About Nirja Kaka

Nirja Kaka is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics, Psychiatry and Mental health, Nephrology and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 424 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), Migraine and Headache Studies (2 papers), Dialysis and Renal Disease Management (2 papers), Viral Infections and Immunology Research (2 papers), Pain Mechanisms and Treatments (2 papers), Urticaria and Related Conditions (1 paper), Antifungal resistance and susceptibility (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Health Informatics (21 citations), Endocrinology, Diabetes and Metabolism (51 citations), Epidemiology (53 citations), Cardiology and Cardiovascular Medicine (37 citations) and Health Information Management (13 citations). Nirja Kaka has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Yashendra Sethi, Neil S Patel, Hitesh Chopra, Simona Daniela Cavalu, Mihaela Simona Popoviciu, Ashish Goel, Nigel H. Greig, Amogh Verma, Talha Bin Emran and Mohammad Amjad Kamal. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Surgery, EXCLI journal, Diabetes & Metabolic Syndrome Clinical Research & Reviews and Current Problems in Cardiology.

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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