Chakresh Kumar Jain

657 total citations
66 papers, 413 citations indexed

About

Chakresh Kumar Jain is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Chakresh Kumar Jain has authored 66 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Plant Science and 6 papers in Infectious Diseases. Recurrent topics in Chakresh Kumar Jain's work include Electrochemical Analysis and Applications (5 papers), Gene expression and cancer classification (5 papers) and Medicinal Plants and Neuroprotection (4 papers). Chakresh Kumar Jain is often cited by papers focused on Electrochemical Analysis and Applications (5 papers), Gene expression and cancer classification (5 papers) and Medicinal Plants and Neuroprotection (4 papers). Chakresh Kumar Jain collaborates with scholars based in India, Canada and Italy. Chakresh Kumar Jain's co-authors include Kalpdrum Passi, Sanjeev Sharma, Gulshan Wadhwa, Money Gupta, Vibha Rani, Aman Gupta, Suresh K. Srivastava, Reema Gabrani, Navendu Goswami and Sanjay Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Science and Frontiers in Plant Science.

In The Last Decade

Chakresh Kumar Jain

58 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chakresh Kumar Jain India 10 144 91 47 35 34 66 413
Junwei Lv China 10 102 0.7× 67 0.7× 19 0.4× 37 1.1× 70 2.1× 19 357
Romi Singh Maharjan Germany 9 112 0.8× 49 0.5× 83 1.8× 25 0.7× 15 0.4× 10 599
Xiujuan Peng China 14 330 2.3× 47 0.5× 34 0.7× 16 0.5× 24 0.7× 36 735
Huiyu Wang China 14 237 1.6× 20 0.2× 21 0.4× 43 1.2× 77 2.3× 34 506
Satyavani Kaliamurthi China 16 294 2.0× 28 0.3× 37 0.8× 36 1.0× 27 0.8× 33 633
Yousef N. Alhashem Saudi Arabia 13 216 1.5× 42 0.5× 24 0.5× 33 0.9× 7 0.2× 28 479
Xiaoqin Huang China 11 137 1.0× 48 0.5× 36 0.8× 5 0.1× 21 0.6× 30 381
Abeer M. Al‐Subaie Saudi Arabia 11 109 0.8× 20 0.2× 26 0.6× 38 1.1× 21 0.6× 25 383
Hui Wen Ng United States 16 289 2.0× 41 0.5× 20 0.4× 12 0.3× 7 0.2× 23 652
Rania G. Aly Egypt 17 218 1.5× 82 0.9× 28 0.6× 14 0.4× 17 0.5× 57 870

Countries citing papers authored by Chakresh Kumar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Chakresh Kumar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chakresh Kumar Jain. 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 Chakresh Kumar Jain. The network helps show where Chakresh Kumar Jain may publish in the future.

Co-authorship network of co-authors of Chakresh Kumar Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Chakresh Kumar Jain. A scholar is included among the top collaborators of Chakresh Kumar Jain 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 Chakresh Kumar Jain. Chakresh Kumar Jain 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.
Gupta, Yashika, et al.. (2025). Advanced Membrane Simulations in Probiotics and Gut Microbiome Interaction Research: The Current Trends and Insights. Current Pharmaceutical Design. 31(34). 2723–2741. 1 indexed citations
2.
Jain, Chakresh Kumar, et al.. (2025). Gut microbiota mediated neuroinflammation in psychiatric disorders: Current perspectives and challenges. Behavioural Brain Research. 501. 116019–116019.
3.
Gupta, Jyoti, et al.. (2024). Vaccine Designing Technology against Leishmaniasis: Current Challenges and Implication. Current Drug Discovery Technologies. 22(2). e240524230315–e240524230315. 2 indexed citations
4.
Kumar, Rajnish, et al.. (2023). Current implications and challenges of artificial intelligence technologies in therapeutic intervention of colorectal cancer. SHILAP Revista de lepidopterología. 4(6). 1286–1300. 4 indexed citations
5.
Jain, Chakresh Kumar, et al.. (2023). Medicinal Plant-rich Diet: A Potential Therapeutic Role in Colorectal Cancer. Cardiovascular & Hematological Agents in Medicinal Chemistry. 22(3). 308–318. 2 indexed citations
6.
Passi, Kalpdrum, et al.. (2023). Crop Disease Detection Using Deep Learning Techniques on Images. Journal of Computer Science. 19(12). 1438–1449. 1 indexed citations
7.
Jain, Chakresh Kumar, et al.. (2023). Understanding the Potentiality of Artificial Intelligence in Psychological Disorders Detection and Diagnostics. OBM Neurobiology. 7(4). 1–22. 2 indexed citations
8.
9.
Jain, Chakresh Kumar, et al.. (2022). miRNA therapeutics in precision oncology: a natural premium to nurture. SHILAP Revista de lepidopterología. 3(4). 511–532. 3 indexed citations
10.
Passi, Kalpdrum, et al.. (2020). Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models. Frontiers in Artificial Intelligence. 3. 583427–583427. 44 indexed citations
11.
12.
Gupta, Money, et al.. (2016). Protein-protein interaction and molecular dynamics analysis for identification of novel inhibitors in Burkholderia cepacia GG4. Computational Biology and Chemistry. 65. 80–90. 6 indexed citations
13.
Jain, Chakresh Kumar, et al.. (2015). The Ubiquitin-Proteasome Pathway an Emerging Anticancer Strategy for Therapeutics: A Patent Analysis. Recent Patents on Anti-Cancer Drug Discovery. 10(2). 201–213. 7 indexed citations
14.
Jain, Chakresh Kumar, et al.. (2014). MicroRNA Therapeutics: The Emerging Anticancer Strategies. Recent Patents on Anti-Cancer Drug Discovery. 9(3). 286–296. 17 indexed citations
15.
Singh, Ananya, Aman Gupta, Money Gupta, et al.. (2014). Current Status of Anti-Tuberculosis Therapy: A Patent Analysis. Recent Patents on Anti-Infective Drug Discovery. 9(1). 25–40. 4 indexed citations
16.
Wadhwa, Gulshan, et al.. (2014). Patent Prospects Toward Therapeutics and Diagnostics of Anthrax. Recent Patents on Anti-Infective Drug Discovery. 9(1). 52–61.
17.
Rajasekharan, Sreejith, Sahil Gulati, Jyoti Rana, et al.. (2013). Elucidating the Interacting Domains ofChandipuraVirus Nucleocapsid Protein. Advances in Virology. 2013. 1–9. 8 indexed citations
18.
Jain, Chakresh Kumar, et al.. (2010). CHIKVPRO – a protein sequence annotation database for chikungunya virus. Bioinformation. 5(1). 4–6. 1 indexed citations
19.
Jain, Chakresh Kumar, et al.. (2007). Parkinson's disease: A perilous magic of nature. Scientific Research and Essays. 2(7). 251–255. 3 indexed citations
20.
Lynn, Andrew M., et al.. (2001). An automated annotation tool for genomic DNA sequences using GeneScan and BLAST. Journal of Genetics. 80(1). 9–16. 5 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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