Amirali Kia

2.9k total citations · 1 hit paper
5 papers, 1.3k citations indexed

About

Amirali Kia is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Amirali Kia has authored 5 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Ecology. Recurrent topics in Amirali Kia's work include CRISPR and Genetic Engineering (2 papers), Chromosomal and Genetic Variations (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Amirali Kia is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Chromosomal and Genetic Variations (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Amirali Kia collaborates with scholars based in United States. Amirali Kia's co-authors include Siavash Fazel Darbandi, Serafim Batzoglou, Kyle Kai‐How Farh, Sofia Kyriazopoulou Panagiotopoulou, Eric D. Chow, Jack A. Kosmicki, Wenwu Cui, Grace Schwartz, Jeremy F. McRae and Stephan Sanders and has published in prestigious journals such as Cell, Nature Communications and Clinical Cancer Research.

In The Last Decade

Amirali Kia

4 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting Splicing from Primary Sequence with Deep Learning

2019 1.3k citations Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou et al. Cell profile →

Peers

Countries citing papers authored by Amirali Kia

Since Specialization

Citations

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

Fields of papers citing papers by Amirali Kia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amirali Kia

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

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	Abstract PR019: Transfer learning for accurate tissue of origin classification from cfDNA methylation 2024 ·Clinical Cancer Research ·(unknown), Amirali Kia, (unknown), Eleanor Brown, Feras Hantash, (unknown)	0
2	Predicting Splicing from Primary Sequence with Deep Learning breakdown → 2019 ·Cell ·Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou, Jeremy F. McRae, Siavash Fazel Darbandi, David A. Knowles, Yang Li, Jack A. Kosmicki, Juan David Arbelaez, Wenwu Cui, Grace Schwartz, Eric D. Chow, (unknown), Hong Gao, Amirali Kia, Serafim Batzoglou, Stephan Sanders, Kyle Kai‐How Farh	1250
3	Improved genome sequencing using an engineered transposase 2017 ·BMC Biotechnology ·Amirali Kia, Christian Johannes Gloeckner, (unknown), Niall Gormley, E.K. Bomati, (unknown), Igor Y. Goryshin, Molly M. He	24
4	Characterization of chromatin accessibility with a transposome hypersensitive sites sequencing (THS-seq) assay 2016 ·Genome biology ·Brandon C. Sos, Ho-Lim Fung, Derek Gao, (unknown), Amirali Kia, Molly M. He, Kun Zhang	40
5	DNA sequencing using polymerase substrate-binding kinetics 2015 ·Nature Communications ·Michael J. R. Previte, Chunhong Zhou, Matthew W. Kellinger, Rigo Pantoja, (unknown), Jin Shi, Beibei Wang, Amirali Kia, (unknown), (unknown), Ali Nikoomanzar, E.K. Bomati, Christian Johannes Gloeckner, Mostafa Ronaghi, Molly M. He	8

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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