N T A BYAM

530 total citations
8 papers, 426 citations indexed

About

N T A BYAM is a scholar working on Endocrinology, Diabetes and Metabolism, Organizational Behavior and Human Resource Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, N T A BYAM has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Organizational Behavior and Human Resource Management and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in N T A BYAM's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Global Public Health Policies and Epidemiology (4 papers) and Health Promotion and Cardiovascular Prevention (2 papers). N T A BYAM is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Global Public Health Policies and Epidemiology (4 papers) and Health Promotion and Cardiovascular Prevention (2 papers). N T A BYAM collaborates with scholars based in United Kingdom, Trinidad and Tobago and Spain. N T A BYAM's co-authors include Gloria L. Beckles, Samuel Alexis, George J. Miller, D.C. Carson, Betty Kirkwood, G. H. Maude, G. J. Miller, Leo Kinlen, Li Chong Chan and Melvyn F. Greaves and has published in prestigious journals such as The Lancet, International Journal of Cancer and International Journal of Epidemiology.

In The Last Decade

N T A BYAM

8 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N T A BYAM United Kingdom	6	231	110	104	87	77	8	426
Mithun Das India	13	187 0.8×	95 0.9×	81 0.8×	91 1.0×	17 0.2×	36	453
Afsaneh Sharifian Iran	9	211 0.9×	215 2.0×	56 0.5×	143 1.6×	10 0.1×	29	514
Ekenechukwu Young Nigeria	11	163 0.7×	86 0.8×	42 0.4×	21 0.2×	7 0.1×	43	314
Segundo Seclén Peru	10	238 1.0×	94 0.9×	66 0.6×	74 0.9×	43 0.6×	26	498
P. Ram Australia	9	224 1.0×	124 1.1×	60 0.6×	104 1.2×	45 0.6×	15	541
Samuel Alexis United Kingdom	4	212 0.9×	104 0.9×	99 1.0×	76 0.9×	72 0.9×	4	358
C. Ben Rayana Tunisia	9	204 0.9×	85 0.8×	33 0.3×	97 1.1×	33 0.4×	17	394
Michele Murphy Smith United States	12	107 0.5×	86 0.8×	31 0.3×	83 1.0×	6 0.1×	15	477
Gigliola Alberti Chile	9	149 0.6×	91 0.8×	84 0.8×	120 1.4×	37 0.5×	19	406
Göran Lönnberg Sweden	8	84 0.4×	71 0.6×	63 0.6×	84 1.0×	9 0.1×	10	386

Countries citing papers authored by N T A BYAM

Since Specialization

Citations

This map shows the geographic impact of N T A BYAM'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 N T A BYAM with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N T A BYAM more than expected).

Fields of papers citing papers by N T A BYAM

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N T A BYAM. 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 N T A BYAM. The network helps show where N T A BYAM may publish in the future.

Co-authorship network of co-authors of N T A BYAM

This figure shows the co-authorship network connecting the top 25 collaborators of N T A BYAM. A scholar is included among the top collaborators of N T A BYAM based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N T A BYAM. N T A BYAM is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Mahabir, D, et al.. (1998). Evaluation of a home kit blood glucose monitoring device.. PubMed. 47(4). 153–6. 1 indexed citations

Miller, George J., Gloria L. Beckles, G. H. Maude, et al.. (1989). Ethnicity and Other Characteristics Predictive of Coronary Heart Disease in a Developing Community: Principal Results of the St James Survey, Trinidad. International Journal of Epidemiology. 18(4). 808–817. 119 indexed citations

Miller, G. J., Betty Kirkwood, Gloria L. Beckles, et al.. (1988). Adult Male All-Cause, Cardiovascular and Cerebrovascular Mortality in Relation to Ethnic Group, Systolic Blood Pressure and Blood Glucose Concentration in Trinidad, West Indies. International Journal of Epidemiology. 17(1). 62–69. 40 indexed citations

Miller, George J., Betty Kirkwood, Gloria L. Beckles, et al.. (1986). Ethnic composition, age and sex, together with location and standard of housing as determinants of HLTV‐I infection in an urban trinidadian community. International Journal of Cancer. 38(6). 801–808. 36 indexed citations

Beckles, Gloria L., Betty Kirkwood, D.C. Carson, et al.. (1986). HIGH TOTAL AND CARDIOVASCULAR DISEASE MORTALITY IN ADULTS OF INDIAN DESCENT IN TRINIDAD, UNEXPLAINED BY MAJOR CORONARY RISK FACTORS. The Lancet. 327(8493). 1298–1301. 140 indexed citations

BYAM, N T A, et al.. (1985). Efficacy and safety of medium term indapamide treatment in hypertensive diabetic patients.. PubMed. 34(4). 261–4. 1 indexed citations

Miller, George J., Gloria L. Beckles, N T A BYAM, et al.. (1984). Serum Lipoprotein Concentrations in Relation to Ethnic Composition and Urbanization in Men and Women of Trinidad, West Indies. International Journal of Epidemiology. 13(4). 413–421. 30 indexed citations

Miller, George J., et al.. (1982). SERUM LIPOPROTEINS AND SUSCEPTIBILITY OF MEN OF INDIAN DESCENT TO CORONARY HEART DISEASE. The Lancet. 320(8291). 200–203. 59 indexed citations

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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