Ajit Kumar

2.4k total citations
92 papers, 1.9k citations indexed

About

Ajit Kumar is a scholar working on Molecular Biology, Pollution and Plant Science. According to data from OpenAlex, Ajit Kumar has authored 92 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 19 papers in Pollution and 15 papers in Plant Science. Recurrent topics in Ajit Kumar's work include Microbial bioremediation and biosurfactants (17 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (11 papers). Ajit Kumar is often cited by papers focused on Microbial bioremediation and biosurfactants (17 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (11 papers). Ajit Kumar collaborates with scholars based in South Africa, United States and India. Ajit Kumar's co-authors include Raymond E. Lockard, Ademola O. Olaniran, Thoru Pederson, Shuhei Zenno, Hiroki Koike, Kaoru Saigo, R. Jayaraman, Masaru Tanokura, James L. Lessard and Kelly Crawford and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ajit Kumar

88 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Kumar South Africa 23 1.1k 228 227 182 171 92 1.9k
Emilio Camafeita Spain 37 1.3k 1.2× 58 0.3× 357 1.6× 219 1.2× 552 3.2× 102 3.2k
Junjie Zhang China 25 924 0.8× 250 1.1× 372 1.6× 43 0.2× 560 3.3× 114 2.2k
Dairena Gaffney United Kingdom 25 951 0.8× 44 0.2× 296 1.3× 177 1.0× 194 1.1× 48 2.5k
Hitendra S. Chand United States 25 719 0.6× 113 0.5× 152 0.7× 31 0.2× 214 1.3× 66 2.1k
Ajit Kumar India 29 1.3k 1.1× 20 0.1× 157 0.7× 95 0.5× 182 1.1× 117 2.3k
Xuemei Xu China 24 1.1k 0.9× 31 0.1× 215 0.9× 103 0.6× 383 2.2× 107 2.0k
Naoto Aoki Japan 21 330 0.3× 71 0.3× 248 1.1× 255 1.4× 81 0.5× 76 1.7k
Daniel Lamarre Canada 38 1.3k 1.2× 201 0.9× 755 3.3× 110 0.6× 902 5.3× 75 3.8k
Sherman M. Chin United States 12 828 0.7× 74 0.3× 86 0.4× 44 0.2× 325 1.9× 14 2.0k
Erdmann Rapp Germany 39 2.7k 2.4× 184 0.8× 397 1.7× 16 0.1× 364 2.1× 133 3.9k

Countries citing papers authored by Ajit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Kumar. A scholar is included among the top collaborators of Ajit Kumar 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 Ajit Kumar. Ajit Kumar 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.
Kumar, Ajit, Lebogang Katata‐Seru, Faruq Mohammad, et al.. (2025). Unravelling the influence of choline chloride-based deep eutectic solvents on lysozyme: a comparative study of fructose and formic acid donors. RSC Advances. 15(31). 25483–25496. 1 indexed citations
2.
Kumar, Ajit, et al.. (2024). Optimization of anthracene biodegradation by indigenous Trichoderma lixii and Talaromyces pinophilus using response surface methodology. Ecotoxicology and Environmental Safety. 289. 117431–117431. 1 indexed citations
3.
4.
Kumar, Ajit, et al.. (2023). Metabolic Biodegradation Pathway of Fluoranthene by Indigenous Trichoderma lixii and Talaromyces pinophilus spp.. Catalysts. 13(5). 791–791. 9 indexed citations
5.
Kumar, Ajit, et al.. (2023). H-AES: Towards Automated Essay Scoring for Hindi. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15955–15963. 3 indexed citations
6.
7.
Kumar, Ajit, et al.. (2019). Molecular Characterization of Chitin Synthase Gene of Demodex canis from Mizoram, India. Acta Parasitologica. 64(1). 57–62. 2 indexed citations
8.
Kumar, Ajit, Faez Iqbal Khan, & Ademola O. Olaniran. (2018). Chloroacetaldehyde dehydrogenase from Ancylobacter aquaticus UV5: Cloning, expression, characterization and molecular modeling. International Journal of Biological Macromolecules. 114. 1117–1126. 6 indexed citations
9.
Kumar, Ajit, et al.. (2015). Purification and Characterization of an Endoinulinase from Xanthomonas campestris pv. phaseoli KM 24 Mutant. Food Technology and Biotechnology. 53(2). 146–153. 12 indexed citations
10.
Kumar, Ajit, Balakrishna Pillay, & Ademola O. Olaniran. (2015). l-2-Haloacid dehalogenase from Ancylobacter aquaticus UV5: Sequence determination and structure prediction. International Journal of Biological Macromolecules. 83. 216–225. 10 indexed citations
11.
Kumar, Ajit, Balakrishna Pillay, & Ademola O. Olaniran. (2014). Two Structurally Different Dienelactone Hydrolases (TfdEI and TfdEII) from Cupriavidus necator JMP134 Plasmid pJP4 Catalyse Cis- and Trans-Dienelactones with Similar Efficiency. PLoS ONE. 9(7). e101801–e101801. 5 indexed citations
12.
Kumar, Ajit, et al.. (2012). Enrichment, isolation and optimization of lipase-producing Staphylococcus sp.from oil mill waste (Oil cake). 3(8). 26–30. 13 indexed citations
13.
Kumar, Ajit, et al.. (2011). Purification and biochemical characterization of a xylanase purified from a crude enzyme extract for the determination of active site residues. African Journal of Biochemistry Research. 5(2). 43–56. 1 indexed citations
14.
Sarin, Renu, et al.. (2010). In vivo and In vitro Estimation of Colchicine in Gloriosa superba L. by High Pressure Liquid Chromatography. 1(4). 1–2. 2 indexed citations
15.
Kumar, Ajit & Mala Rao. (2006). Biochemical characterization of a low molecular weight aspartic protease inhibitor from thermo-tolerant Bacillus licheniformis: Kinetic interactions with Pepsin. Biochimica et Biophysica Acta (BBA) - General Subjects. 1760(12). 1845–1856. 9 indexed citations
16.
Chen, Yiwen, et al.. (2002). Nuclear Factor 90 Mediates Activation of the Cellular Antiviral Expression Cascade. AIDS Research and Human Retroviruses. 18(8). 591–604. 34 indexed citations
17.
Težak, Živana, Eric P. Hoffman, Tamara O. Fedczyna, et al.. (2002). Gene Expression Profiling in DQA1*0501+ Children with Untreated Dermatomyositis: A Novel Model of Pathogenesis. The Journal of Immunology. 168(8). 4154–4163. 179 indexed citations
18.
Qian, Jin, et al.. (1996). Tissue and developmental specific expression of murine smooth muscle γ-actin fusion genes in transgenic mice. Developmental Dynamics. 207(2). 135–144. 39 indexed citations
19.
Nekhai, Sergeï, et al.. (1996). Peptides Derived from the Interferon-Induced PKR Prevent Activation by HIV-1 TAR RNA. Virology. 222(1). 193–200. 10 indexed citations
20.
Seiler-Tuyns, Anne, Panagiotis Pantazis, William Bonner, Dean H. Hamer, & Ajit Kumar. (1984). A Mouse Histone H4 Gene Carried by an SV40 Vector is Accurately Expressed in Infected Monkey Cells. DNA. 3(3). 215–222. 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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