Tapas Chakma

27 papers receiving 336 citations

Peers

Tapas Chakma
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 129
  • Family Practice 8
  • General Health Professions 68
  • Health Information Management 16
  • Pediatrics, Perinatology and Child Health 20
Replace Luciana Saraiva da Silva with:
Luciana Saraiva da Silva Brazil
Simin Arabshahi Australia
Abdel Hamid El Bilbeisi Palestinian Territory
Mawuli Komla Kushitor Ghana
Cornel van Rooyen South Africa
Gourab Adhikary Bangladesh
Poppy Alice Carson Mallinson United Kingdom
Yuniar Lestari Indonesia
Yunmi Kim South Korea
Kapil Yadav India
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Citations per field
00.5×2×3×4.4×
Luciana Saraiva da Silva · 1×
Citations per year

Countries citing papers authored by Tapas Chakma

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Chakma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202354
2 202049
3 202245
4 202243
5 200434
6 201732
7 201227
8 202113
9 202310
10 20058
11 20088
12 20228
13 20227
14 20213
15 20213
16 20233
17 20253
18 20222
19 20232
20 20232

About Tapas Chakma

Tapas Chakma is a scholar working on Health Information Management, Cardiology and Cardiovascular Medicine, General Health Professions, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 32 papers that have together received 365 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Indigenous Health and Education (5 papers), COVID-19 and Mental Health (4 papers), Global Health and Epidemiology (3 papers), Child Nutrition and Water Access (2 papers), Healthcare Systems and Public Health (2 papers), Diabetes Management and Education (2 papers) and Fluoride Effects and Removal (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (129 citations), Family Practice (8 citations), General Health Professions (68 citations), Health Information Management (16 citations) and Pediatrics, Perinatology and Child Health (20 citations). Tapas Chakma has collaborated with scholars based in India and United States. Frequent co-authors include RAVENDRA KUMAR SHARMA, Sukesh Narayan Sinha, H.N. Saiyed, Harsiddha G. Sadhu, Aruna Dewan, Anup R. Anvikar, Vikas Gangadhar Rao, Sam Godfrey, Harpreet Kaur and Pradip Barde. Their work appears in journals such as Journal of Diabetes Science and Technology, International Journal of Microbiology Research, Journal of Human Hypertension, Frontiers in Public Health and BMC Public Health.

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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