Nisha D’Mello

453 total citations
9 papers, 338 citations indexed

About

Nisha D’Mello is a scholar working on Hematology, Surgery and Molecular Biology. According to data from OpenAlex, Nisha D’Mello has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Hematology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Nisha D’Mello's work include Blood Coagulation and Thrombosis Mechanisms (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Nisha D’Mello is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Nisha D’Mello collaborates with scholars based in Canada and United States. Nisha D’Mello's co-authors include S. Michal Jazwinski, Shubha P. Kale, A.M. Childress, Paul A. Horgen, Thomas Binz, Yeung Yam, Li Chen, Benjamin J.W. Chow, Joseph Abunassar and Betty Wong and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Journal of Bacteriology.

In The Last Decade

Nisha D’Mello

8 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nisha D’Mello Canada	7	232	132	82	48	45	9	338
Nazif Maqani United States	10	302 1.3×	144 1.1×	35 0.4×	27 0.6×	44 1.0×	11	414
Yinghong Pan United States	10	197 0.8×	31 0.2×	56 0.7×	17 0.4×	70 1.6×	14	368
Cyril Statzer Switzerland	12	146 0.6×	158 1.2×	100 1.2×	46 1.0×	8 0.2×	17	372
Nikolaos Charmpilas Greece	9	199 0.9×	45 0.3×	35 0.4×	33 0.7×	12 0.3×	13	272
Susana Isabel Ferreira Portugal	8	183 0.8×	106 0.8×	68 0.8×	7 0.1×	18 0.4×	12	343
Yohann Grondin United States	8	126 0.5×	20 0.2×	76 0.9×	18 0.4×	12 0.3×	19	334
Julian Ostrovsky United States	12	343 1.5×	137 1.0×	59 0.7×	44 0.9×	8 0.2×	14	484
Susan M. DeLeon United States	6	294 1.3×	64 0.5×	83 1.0×	23 0.5×	17 0.4×	6	446
Yunki Lim United States	8	206 0.9×	51 0.4×	58 0.7×	126 2.6×	6 0.1×	8	344
Jianbo Na United States	3	104 0.4×	100 0.8×	38 0.5×	23 0.5×	11 0.2×	3	308

Countries citing papers authored by Nisha D’Mello

Since Specialization

Citations

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

Fields of papers citing papers by Nisha D’Mello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisha D’Mello. 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 Nisha D’Mello. The network helps show where Nisha D’Mello may publish in the future.

Co-authorship network of co-authors of Nisha D’Mello

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha D’Mello. A scholar is included among the top collaborators of Nisha D’Mello 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 Nisha D’Mello. Nisha D’Mello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Abunassar, Joseph, Yeung Yam, Li Chen, Nisha D’Mello, & Benjamin J.W. Chow. (2011). Usefulness of the Agatston Score = 0 to Exclude Ischemic Cardiomyopathy in Patients With Heart Failure. The American Journal of Cardiology. 107(3). 428–432. 24 indexed citations

2.

Galiwango, Paul, Angeline Law, Nisha D’Mello, & Benjamin J.W. Chow. (2009). The Coronary Collier. Journal of the American College of Cardiology. 54(11). 1035–1035.

3.

Miriuka, Santiago, Loralie J. Langman, Jovan Evrovski, et al.. (2005). Thromboembolism in Heart Transplantation: Role of Prothrombin G20210A and Factor V Leiden. Transplantation. 80(5). 590–594. 9 indexed citations

4.

Miriuka, Santiago, Loralie J. Langman, Jovan Evrovski, et al.. (2005). Thromboembolism in heart transplantation: Role of prothrombin G20210A and factor V Leiden. The Journal of Heart and Lung Transplantation. 24(2). S123–S123. 1 indexed citations

5.

Miriuka, Santiago, Loralie J. Langman, Jovan Evrovski, et al.. (2004). Genetic polymorphisms predisposing to hyperhomocysteinemia in cardiac transplant patients. Transplant International. 18(1). 29–35. 8 indexed citations

6.

Binz, Thomas, Nisha D’Mello, & Paul A. Horgen. (1998). A comparison of DNA methylation levels in selected isolates of higher fungi. Mycologia. 90(5). 785–790. 20 indexed citations

7.

Binz, Thomas, Nisha D’Mello, & Paul A. Horgen. (1998). A Comparison of DNA Methylation Levels in Selected Isolates of Higher Fungi. Mycologia. 90(5). 785–785. 9 indexed citations

8.

D’Mello, Nisha, et al.. (1994). Cloning and characterization of LAG1, a longevity-assurance gene in yeast.. Journal of Biological Chemistry. 269(22). 15451–15459. 192 indexed citations

9.

D’Mello, Nisha & S. Michal Jazwinski. (1991). Telomere length constancy during aging of Saccharomyces cerevisiae. Journal of Bacteriology. 173(21). 6709–6713. 75 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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