Arjun Krishnan

5.5k total citations · 3 hit papers
47 papers, 3.3k citations indexed

About

Arjun Krishnan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Arjun Krishnan has authored 47 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Arjun Krishnan's work include Bioinformatics and Genomic Networks (22 papers), Gene expression and cancer classification (19 papers) and Biomedical Text Mining and Ontologies (6 papers). Arjun Krishnan is often cited by papers focused on Bioinformatics and Genomic Networks (22 papers), Gene expression and cancer classification (19 papers) and Biomedical Text Mining and Ontologies (6 papers). Arjun Krishnan collaborates with scholars based in United States, India and South Korea. Arjun Krishnan's co-authors include Andy Pereira, Madana M.R. Ambavaram, Amal Harb, Olga G. Troyanskaya, Aaron K. Wong, Ran Zhang, Kurniawan Rudi Trijatmiko, Utlwang Batlang, Supratim Basu and Venkategowda Ramegowda and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Arjun Krishnan

45 papers receiving 3.2k 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.

Molecular and Physiological Analysis of Drought Stress in Arabidopsis Reveals Early Responses Leading to Acclimation in Plant Growth

2010 575 citations Arjun Krishnan, Madana M.R. Ambavaram et al. PLANT PHYSIOLOGY profile →
Understanding multicellular function and disease with human tissue-specific networks

2015 562 citations Casey S. Greene, Arjun Krishnan et al. Nature Genetics profile →
Integration of 168,000 samples reveals global patterns of the human gut microbiome

2025 24 citations Richard J. Abdill, Vincent Rubinetti et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arjun Krishnan United States	20	1.8k	1.7k	531	150	130	47	3.3k
Fang Du China	28	1.1k 0.6×	542 0.3×	784 1.5×	123 0.8×	95 0.7×	98	2.2k
Yu Huang China	27	1.3k 0.7×	1.5k 0.9×	818 1.5×	27 0.2×	60 0.5×	123	3.4k
Carl Troein Sweden	18	1.7k 0.9×	738 0.4×	319 0.6×	74 0.5×	80 0.6×	29	2.6k
Jun‐Yuan Ji China	37	2.6k 1.4×	1.0k 0.6×	767 1.4×	47 0.3×	349 2.7×	115	4.7k
Dengfeng Zhang China	34	1.5k 0.8×	2.0k 1.2×	1.0k 1.9×	38 0.3×	135 1.0×	165	3.9k
Bo Feng China	37	4.0k 2.2×	428 0.3×	715 1.3×	74 0.5×	361 2.8×	153	6.5k
Dmitri A. Nusinow United States	27	2.9k 1.6×	3.1k 1.8×	428 0.8×	39 0.3×	154 1.2×	49	4.6k
Dongmin Jung South Korea	10	1.6k 0.9×	532 0.3×	352 0.7×	24 0.2×	349 2.7×	16	3.0k
Ghislaı̀n Breton United States	28	2.5k 1.4×	3.5k 2.1×	249 0.5×	47 0.3×	52 0.4×	41	4.4k
Richard J. Edwards United Kingdom	31	1.6k 0.8×	262 0.2×	269 0.5×	100 0.7×	144 1.1×	92	2.6k

Countries citing papers authored by Arjun Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Arjun Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Krishnan

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

All Works

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20 of 20 papers shown

Abdill, Richard J., Vincent Rubinetti, Daniel McDonald, et al.. (2025). Integration of 168,000 samples reveals global patterns of the human gut microbiome. Cell. 188(4). 1100–1118.e17. 24 indexed citations breakdown →

Yuan, Hao, Christopher A Mancuso, Kayla A Johnson, Ingo Braasch, & Arjun Krishnan. (2025). Computational strategies for cross-species knowledge transfer. Nature Methods. 23(2). 312–327.

Prasad, Abhishek, et al.. (2024). AI-Driven Diagnosis of Chronic Diseases Through Pattern Recognition in Medical Data. International Research Journal on Advanced Engineering and Management (IRJAEM). 2(12). 3725–3730.

Hirn, Matthew, et al.. (2023). Accurately modeling biased random walks on weighted networks using node2vec+. Bioinformatics. 39(1). 13 indexed citations

Mancuso, Christopher A, et al.. (2022). A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunities. Frontiers in Pharmacology. 13. 995459–995459. 5 indexed citations

Krishnan, Arjun, et al.. (2021). PecanPy: a fast, efficient and parallelized Python implementation of node2vec. Bioinformatics. 37(19). 3377–3379. 25 indexed citations

Pizzo, Lucilla, Micaela Lasser, Matthew Jensen, et al.. (2021). Functional assessment of the “two-hit” model for neurodevelopmental defects in Drosophila and X. laevis. PLoS Genetics. 17(4). e1009112–e1009112. 13 indexed citations

Mancuso, Christopher A, et al.. (2020). Supervised learning is an accurate method for network-based gene classification. Bioinformatics. 36(11). 3457–3465. 22 indexed citations

Mancuso, Christopher A, et al.. (2020). A flexible, interpretable, and accurate approach for imputing the expression of unmeasured genes. Nucleic Acids Research. 48(21). e125–e125. 6 indexed citations

10.

Lee, Young-Suk, Arjun Krishnan, Rose Oughtred, et al.. (2019). A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Systems. 8(2). 152–162.e6. 19 indexed citations

11.

Krishnan, Arjun, Ran Zhang, Vicky Yao, et al.. (2016). Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience. 19(11). 1454–1462. 265 indexed citations

12.

Goya, Jonathan, et al.. (2015). FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Research. 43(W1). W182–W187. 19 indexed citations

13.

Greene, Casey S., Arjun Krishnan, Aaron K. Wong, et al.. (2015). Understanding multicellular function and disease with human tissue-specific networks. Nature Genetics. 47(6). 569–576. 562 indexed citations breakdown →

14.

Wong, Aaron K., Arjun Krishnan, Vicky Yao, Alicja Tadych, & Olga G. Troyanskaya. (2015). IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Research. 43(W1). W128–W133. 46 indexed citations

15.

Zhu, Qian, Aaron K. Wong, Arjun Krishnan, et al.. (2015). Targeted exploration and analysis of large cross-platform human transcriptomic compendia. Nature Methods. 12(3). 211–214. 110 indexed citations

16.

Batlang, Utlwang, Madana M.R. Ambavaram, Arjun Krishnan, & Andy Pereira. (2014). Drought responsive genes and their functional terms identified by GS FLX Pyro sequencing in maize.. Maydica. 59(3). 306–314. 2 indexed citations

17.

Ramegowda, Venkategowda, Supratim Basu, Arjun Krishnan, & Andy Pereira. (2014). Rice GROWTH UNDER DROUGHT KINASE Is Required for Drought Tolerance and Grain Yield under Normal and Drought Stress Conditions. PLANT PHYSIOLOGY. 166(3). 1634–1645. 79 indexed citations

18.

Kakumanu, Akshay, Madana M.R. Ambavaram, Arjun Krishnan, et al.. (2012). Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissue Revealed by RNA-Seq . PLANT PHYSIOLOGY. 160(2). 846–867. 267 indexed citations

19.

Bassaganya‐Riera, Josep, Jeffrey A. Skoneczka, David G. I. Kingston, et al.. (2010). Mechanisms of Action and Medicinal Applications of Abscisic Acid. Current Medicinal Chemistry. 17(5). 467–478. 60 indexed citations

20.

Krishnan, Arjun & Andy Pereira. (2008). Integrative approaches for mining transcriptional regulatory programs in Arabidopsis. Briefings in Functional Genomics and Proteomics. 7(4). 264–274. 15 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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