Ahsan Huda

530 total citations
21 papers, 374 citations indexed

About

Ahsan Huda is a scholar working on Molecular Biology, Plant Science and Nephrology. According to data from OpenAlex, Ahsan Huda has authored 21 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Plant Science and 7 papers in Nephrology. Recurrent topics in Ahsan Huda's work include Chromosomal and Genetic Variations (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers) and Parathyroid Disorders and Treatments (7 papers). Ahsan Huda is often cited by papers focused on Chromosomal and Genetic Variations (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers) and Parathyroid Disorders and Treatments (7 papers). Ahsan Huda collaborates with scholars based in United States, United Kingdom and Colombia. Ahsan Huda's co-authors include I. King Jordan, Leonardo Mariño‐Ramírez, Nathan J. Bowen, Adam Castaño, Marianna Bruno, Jianrong Wang, Faraz S. Ahmad, Victoria V. Lunyak, Daudi Jjingo and Sanjiv J. Shah and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ahsan Huda

20 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahsan Huda United States 10 312 188 60 37 21 21 374
YoSon Park United States 6 301 1.0× 118 0.6× 151 2.5× 66 1.8× 9 0.4× 12 442
Alice Rousseau France 6 126 0.4× 94 0.5× 27 0.5× 35 0.9× 3 0.1× 9 233
Hao Lin China 10 112 0.4× 149 0.8× 166 2.8× 7 0.2× 8 0.4× 28 376
Kazue Saito Japan 7 221 0.7× 70 0.4× 52 0.9× 14 0.4× 6 0.3× 11 306
Qianhua Dong China 14 352 1.1× 343 1.8× 58 1.0× 5 0.1× 5 0.2× 24 533
Seongmun Jeong South Korea 9 103 0.3× 121 0.6× 119 2.0× 5 0.1× 13 0.6× 14 327
Eirikur Hjartarson Iceland 3 159 0.5× 42 0.2× 156 2.6× 5 0.1× 9 0.4× 3 286
Caroline Thivierge Canada 6 369 1.2× 51 0.3× 113 1.9× 6 0.2× 39 1.9× 7 482
Gillian C.A. Taylor United Kingdom 7 432 1.4× 57 0.3× 40 0.7× 3 0.1× 5 0.2× 9 468

Countries citing papers authored by Ahsan Huda

Since Specialization
Citations

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

Fields of papers citing papers by Ahsan Huda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahsan Huda

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

All Works

20 of 20 papers shown
1.
2.
Tsang, Carmen, Ahsan Huda, Vincenzo Leo, et al.. (2023). Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK setting. BMJ Open. 13(10). e070028–e070028. 3 indexed citations
3.
Papanastasiou, Giorgos, Guang Yang, Dimitrios I. Fotiadis, et al.. (2023). Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficiencies. SHILAP Revista de lepidopterología. 3(1). 189–189. 2 indexed citations
4.
Castaño, Adam, Stephen B. Heitner, Ahmad Masri, et al.. (2023). EstimATTR: A Simplified, Machine-Learning-Based Tool to Predict the Risk of Wild-Type Transthyretin Amyloid Cardiomyopathy. Journal of Cardiac Failure. 30(6). 778–787. 2 indexed citations
5.
Mitchell, Joshua D., et al.. (2022). Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical Center. Clinical Medicine Insights Cardiology. 16. 1967633192–1967633192. 2 indexed citations
6.
7.
Huda, Ahsan, Adam Castaño, Jennifer Schumacher, et al.. (2021). A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy. Nature Communications. 12(1). 2725–2725. 76 indexed citations
8.
Bruno, Marianna, et al.. (2020). Applying phenotypes to operationalize high-yield clinical features derived from a heuristic artificial intelligence model for a rare disease in the EHR.. AMIA. 1 indexed citations
9.
Heitner, Stephen B., Miriam Elman, Ahmad Masri, et al.. (2020). Performance Evaluation of A Machine Learning Model For Systematic Identification of Wild-type Transthyretin Amyloid Cardiomyopathy At Two Academic Medical Centers. Journal of Cardiac Failure. 26(10). S38–S38. 3 indexed citations
10.
Huda, Ahsan, Sanjiv J. Shah, Adam Castaño, et al.. (2019). A Machine Learning Model for the Systematic Identification of Wild-Type Transthyretin Cardiomyopathy. Journal of Cardiac Failure. 25(8). S53–S54. 4 indexed citations
11.
Bushel, Pierre R., Liwen Liu, Oliver Hofmann, et al.. (2012). Population Differences in Transcript-Regulator Expression Quantitative Trait Loci. PLoS ONE. 7(3). e34286–e34286. 7 indexed citations
12.
Huda, Ahsan, Nathan J. Bowen, Andrew B. Conley, & I. King Jordan. (2011). Epigenetic regulation of transposable element derived human gene promoters. Gene. 475(1). 39–48. 32 indexed citations
13.
Huda, Ahsan, et al.. (2011). Prediction of Transposable Element Derived Enhancers Using Chromatin Modification Profiles. PLoS ONE. 6(11). e27513–e27513. 21 indexed citations
14.
Jjingo, Daudi, et al.. (2011). Effect of the Transposable Element Environment of Human Genes on Gene Length and Expression. Genome Biology and Evolution. 3. 259–271. 24 indexed citations
15.
Huda, Ahsan, Leonardo Mariño‐Ramírez, & I. King Jordan. (2010). Epigenetic histone modifications of human transposable elements: genome defense versus exaptation. Mobile DNA. 1(1). 2–2. 50 indexed citations
16.
Wang, Jianrong, Ahsan Huda, Victoria V. Lunyak, & I. King Jordan. (2010). A Gibbs sampling strategy applied to the mapping of ambiguous short-sequence tags. Bioinformatics. 26(20). 2501–2508. 30 indexed citations
17.
Huda, Ahsan, Leonardo Mariño‐Ramírez, David Landsman, & I. King Jordan. (2009). Repetitive DNA elements, nucleosome binding and human gene expression. Gene. 436(1-2). 12–22. 28 indexed citations
18.
Huda, Ahsan & I. King Jordan. (2009). Analysis of Transposable Element Sequences Using CENSOR and RepeatMasker. Methods in molecular biology. 537. 323–336. 25 indexed citations
19.
Huda, Ahsan & I. King Jordan. (2009). Epigenetic Regulation of Mammalian Genomes by Transposable Elements. Annals of the New York Academy of Sciences. 1178(1). 276–284. 30 indexed citations
20.
Huda, Ahsan, et al.. (2008). Endogenous retroviruses of the chicken genome. Biology Direct. 3(1). 9–9. 27 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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