Imlimaong Aier

855 total citations
24 papers, 617 citations indexed

About

Imlimaong Aier is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Imlimaong Aier has authored 24 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Imlimaong Aier's work include Epigenetics and DNA Methylation (5 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Machine Learning in Bioinformatics (4 papers). Imlimaong Aier is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Machine Learning in Bioinformatics (4 papers). Imlimaong Aier collaborates with scholars based in India. Imlimaong Aier's co-authors include Pritish Kumar Varadwaj, Utkarsh Raj, Rahul Semwal, Anju Sharma, Pankaj Tyagi, Rajnish Kumar, Rashmi Tripathi, Pavan Chakraborty, Nirmalya Sen and Sonali Mishra and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neural Computing and Applications.

In The Last Decade

Imlimaong Aier

22 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imlimaong Aier India 8 307 109 93 81 76 24 617
Chun‐Chen Chen Taiwan 12 386 1.3× 170 1.6× 84 0.9× 21 0.3× 99 1.3× 28 908
Veronica Di Sarno Italy 16 293 1.0× 51 0.5× 54 0.6× 17 0.2× 83 1.1× 35 709
Katja Kristan Slovenia 18 448 1.5× 46 0.4× 78 0.8× 66 0.8× 11 0.1× 39 929
Sunhye Hong South Korea 10 355 1.2× 279 2.6× 49 0.5× 21 0.3× 211 2.8× 13 836
Maryam Hamzeh‐Mivehroud Iran 18 511 1.7× 179 1.6× 71 0.8× 53 0.7× 16 0.2× 74 956
Thomas Ryckmans United Kingdom 15 499 1.6× 104 1.0× 77 0.8× 21 0.3× 43 0.6× 29 877
Emmanuel Prata de Souza Brazil 17 384 1.3× 27 0.2× 86 0.9× 23 0.3× 31 0.4× 37 872
Brian J. Bender United States 11 492 1.6× 207 1.9× 59 0.6× 20 0.2× 13 0.2× 22 751
Huang Huang China 14 279 0.9× 36 0.3× 70 0.8× 17 0.2× 10 0.1× 31 623
Hossein Sadeghpour Iran 15 290 0.9× 48 0.4× 84 0.9× 55 0.7× 6 0.1× 39 648

Countries citing papers authored by Imlimaong Aier

Since Specialization
Citations

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

Fields of papers citing papers by Imlimaong Aier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imlimaong Aier

This figure shows the co-authorship network connecting the top 25 collaborators of Imlimaong Aier. A scholar is included among the top collaborators of Imlimaong Aier 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 Imlimaong Aier. Imlimaong Aier 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.
Aier, Imlimaong, et al.. (2025). Navigating single-cell RNA-sequencing: protocols, tools, databases, and applications. Genomics & Informatics. 23(1). 13–13. 2 indexed citations
2.
Aier, Imlimaong, Shreya Das, Manash Sarkar, et al.. (2025). Enhanced ETS1 stability by DNAPKcs orchestrates transcriptional changes during chemoresistance in triple negative breast cancer. npj Breast Cancer. 11(1). 114–114.
3.
Aier, Imlimaong, et al.. (2025). Structural dynamics of olfactory receptors: implications for odorant binding and activation mechanisms. Journal of Biomolecular Structure and Dynamics. 1–12. 1 indexed citations
5.
Semwal, Rahul, Imlimaong Aier, Pankaj Tyagi, Utkarsh Raj, & Pritish Kumar Varadwaj. (2023). DeepLBS: A deep Convolutional Neural Network-Based Ligand-Binding Site Prediction Tool. 1–4. 1 indexed citations
6.
Aier, Imlimaong, et al.. (2022). PGC1 alpha coactivates ERG fusion to drive antioxidant target genes under metabolic stress. Communications Biology. 5(1). 416–416. 6 indexed citations
7.
Sharma, Anju, Rajnish Kumar, Rahul Semwal, et al.. (2020). DeepOlf: Deep Neural Network Based Architecture for Predicting Odorants and Their Interacting Olfactory Receptors. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 418–428. 25 indexed citations
8.
Aier, Imlimaong, Rahul Semwal, Anju Sharma, & Pritish Kumar Varadwaj. (2020). In silico identification of therapeutic compounds against microRNA targets in drug-resistant pancreatic ductal adenocarcinoma. Journal of Biomolecular Structure and Dynamics. 39(13). 4893–4901. 4 indexed citations
9.
Tripathi, Rashmi, Imlimaong Aier, Pavan Chakraborty, & Pritish Kumar Varadwaj. (2019). Unravelling the role of long non-coding RNA - LINC01087 in breast cancer. Non-coding RNA Research. 5(1). 1–10. 14 indexed citations
11.
Aier, Imlimaong & Pritish Kumar Varadwaj. (2019). Understanding the Mechanism of Cell Death in Gemcitabine Resistant Pancreatic Ductal Adenocarcinoma: A Systems Biology Approach. Current Genomics. 20(7). 483–490. 3 indexed citations
12.
Aier, Imlimaong, Rahul Semwal, Anju Sharma, & Pritish Kumar Varadwaj. (2018). A systematic assessment of statistics, risk factors, and underlying features involved in pancreatic cancer. Cancer Epidemiology. 58. 104–110. 95 indexed citations
13.
Sharma, Anju, Rajnish Kumar, Imlimaong Aier, et al.. (2018). Sense of Smell: Structural, Functional, Mechanistic Advancements and Challenges in Human Olfactory Research. Current Neuropharmacology. 17(9). 891–911. 90 indexed citations
14.
Mishra, Sonali, Imlimaong Aier, Pritish Kumar Varadwaj, & Krishna Misra. (2018). Integrated Pathways of Candida albicans Revealing Potential Targets and Key Factors Accountable for Pathogenicity. Proceedings of the National Academy of Sciences India Section B Biological Sciences. 89(2). 575–584. 3 indexed citations
15.
Raj, Utkarsh, Imlimaong Aier, Rahul Semwal, & Pritish Kumar Varadwaj. (2017). Identification of novel dysregulated key genes in Breast cancer through high throughput ChIP-Seq data analysis. Scientific Reports. 7(1). 3229–3229. 7 indexed citations
16.
Raj, Utkarsh, et al.. (2017). In silico characterization of hypothetical proteins obtained from Mycobacterium tuberculosis H37Rv. Network Modeling Analysis in Health Informatics and Bioinformatics. 6(1). 5 indexed citations
17.
Semwal, Rahul, Imlimaong Aier, Utkarsh Raj, & Pritish Kumar Varadwaj. (2017). Pharmadoop: a tool for pharmacophore searching using Hadoop framework. Network Modeling Analysis in Health Informatics and Bioinformatics. 6(1). 5 indexed citations
18.
Aier, Imlimaong, Pritish Kumar Varadwaj, & Utkarsh Raj. (2016). Structural insights into conformational stability of both wild-type and mutant EZH2 receptor. Scientific Reports. 6(1). 34984–34984. 318 indexed citations
19.
Aier, Imlimaong & Utkarsh Raj. (2016). Exploring the role of EZH2 (PRC2) as epigenetic target. 78. 1–4. 1 indexed citations
20.
Skariyachan, Sinosh, et al.. (2015). Investigating the therapeutic potential of herbal leads against drug resistantListeria monocytogenesby computational virtual screening andin vitroassays. Journal of Biomolecular Structure and Dynamics. 33(12). 2682–2694. 4 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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