Mohammed Naimuddin

477 total citations
23 papers, 358 citations indexed

About

Mohammed Naimuddin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Mohammed Naimuddin has authored 23 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in Mohammed Naimuddin's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Genomics and Phylogenetic Studies (8 papers) and RNA and protein synthesis mechanisms (7 papers). Mohammed Naimuddin is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Genomics and Phylogenetic Studies (8 papers) and RNA and protein synthesis mechanisms (7 papers). Mohammed Naimuddin collaborates with scholars based in Japan, Ethiopia and India. Mohammed Naimuddin's co-authors include Koichi Nishigaki, Tai Kubo, Naoto Nemoto, Yuzuru Husimi, K. Hamano, Tōru Sasaki, Takashi Funatsu, Junichi Yamaguchi, M. Machida and Ayumu Saito and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Analytical Biochemistry.

In The Last Decade

Mohammed Naimuddin

21 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Naimuddin Japan 12 267 101 55 53 50 23 358
Hadar Amartely Israel 10 216 0.8× 34 0.3× 17 0.3× 51 1.0× 43 0.9× 18 321
Lyudmila A. Baratova Russia 16 251 0.9× 30 0.3× 107 1.9× 27 0.5× 132 2.6× 21 494
Nesrine Chakroun United Kingdom 10 295 1.1× 75 0.7× 34 0.6× 34 0.6× 18 0.4× 11 391
Jürgen Hemberger Germany 10 199 0.7× 55 0.5× 20 0.4× 32 0.6× 25 0.5× 21 308
Timothy C. Peakman United Kingdom 9 283 1.1× 27 0.3× 53 1.0× 138 2.6× 43 0.9× 12 446
Ben-chang Shen China 3 292 1.1× 12 0.1× 37 0.7× 77 1.5× 36 0.7× 5 402
J.L. Christmann United States 9 279 1.0× 19 0.2× 17 0.3× 74 1.4× 41 0.8× 12 388
Mayumi Kanagawa Japan 11 374 1.4× 13 0.1× 41 0.7× 22 0.4× 33 0.7× 22 447
Swapnil Ganesh Sanmukh India 9 177 0.7× 43 0.4× 250 4.5× 25 0.5× 38 0.8× 31 396

Countries citing papers authored by Mohammed Naimuddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Naimuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Naimuddin

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Naimuddin. A scholar is included among the top collaborators of Mohammed Naimuddin 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 Mohammed Naimuddin. Mohammed Naimuddin 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.
Naimuddin, Mohammed, et al.. (2025). Phytochemical screening and inhibitory effects of Catha edulis Forsk extracts on oxidation, growth, biofilm and quorum sensing of selected pathogens. Journal of Genetic Engineering and Biotechnology. 23(4). 100560–100560.
2.
3.
Naimuddin, Mohammed, et al.. (2023). Optically amended biosynthesized crystalline copper-doped ZnO for enhanced antibacterial activity. RSC Advances. 13(35). 24835–24845. 21 indexed citations
4.
5.
Naimuddin, Mohammed, et al.. (2023). Potential and Prospects of Trichoderma in Plant Protection. Advances in Agriculture. 2023. 1–11. 6 indexed citations
6.
Dinka, Hunduma, et al.. (2022). In silico analysis of promoter regions to identify regulatory elements in TetR family transcriptional regulatory genes of Mycobacterium colombiense CECT 3035. Journal of Genetic Engineering and Biotechnology. 20(1). 53–53. 6 indexed citations
7.
Kubo, Tai & Mohammed Naimuddin. (2019). cDNA Display of Disulfide-Containing Peptide Library and In Vitro Evolution. Methods in molecular biology. 2070. 57–77.
8.
Naimuddin, Mohammed & Tai Kubo. (2016). A High Performance Platform Based on cDNA Display for Efficient Synthesis of Protein Fusions and Accelerated Directed Evolution. ACS Combinatorial Science. 18(2). 117–129. 6 indexed citations
9.
Naimuddin, Mohammed, et al.. (2013). Role of messenger RNA–ribosome complex in complementary DNA display. Analytical Biochemistry. 438(2). 97–103. 1 indexed citations
10.
Naimuddin, Mohammed, et al.. (2013). Directed evolution of three-finger toxin to produce serine protease inhibitors. Journal of Receptors and Signal Transduction. 34(3). 154–161. 6 indexed citations
11.
Naimuddin, Mohammed, Chihiro Tsutsui, Masayuki Machida, et al.. (2011). Directed evolution of a three-finger neurotoxin by using cDNA display yields antagonists as well as agonists of interleukin-6 receptor signaling. Molecular Brain. 4(1). 2–2. 31 indexed citations
12.
Naimuddin, Mohammed & Tai Kubo. (2011). Display of disulfide-rich proteins by complementary DNA display and disulfide shuffling assisted by protein disulfide isomerase. Analytical Biochemistry. 419(1). 33–39. 4 indexed citations
13.
Yamaguchi, Junichi, Mohammed Naimuddin, Tōru Sasaki, et al.. (2009). cDNA display: a novel screening method for functional disulfide-rich peptides by solid-phase synthesis and stabilization of mRNA-protein fusions. Nucleic Acids Research. 37(16). e108–e108. 88 indexed citations
14.
Naimuddin, Mohammed, et al.. (2008). Molecular Design Guided by a Local Map of Sequence Space: DNA Aptamers That Inhibit Cathepsin E. Oligonucleotides. 18(1). 1–8. 2 indexed citations
15.
Kinoshita, Yasunori, Tomoko Kadowaki, Yoko Endo‐Takahashi, et al.. (2008). Development of Systemic in vitro Evolution and Its Application to Generation of Peptide-Aptamer-Based Inhibitors of Cathepsin E. Journal of Molecular Biology. 387(5). 1186–1198. 18 indexed citations
16.
Kouduka, Mariko, Daisuke Sato, Manabu Komori, et al.. (2007). A Solution for Universal Classification of Species Based on Genomic DNA. PubMed. 2007. 1–8. 18 indexed citations
17.
Naimuddin, Mohammed. (2002). Commonly conserved genetic fragments revealed by genome profiling can serve as tracers of evolution. Nucleic Acids Research. 30(10). 42e–42. 11 indexed citations
18.
Watanabe, Takehiro, et al.. (2002). A database for the provisional identification of species using only genotypes: web-based genome profiling. Genome biology. 3(2). RESEARCH0010–RESEARCH0010. 13 indexed citations
19.
Nishigaki, Koichi, Mohammed Naimuddin, & K. Hamano. (2000). Genome Profiling: A Realistic Solution for Genotype-Based Identification of Species. The Journal of Biochemistry. 128(1). 107–112. 33 indexed citations
20.
Nishigaki, Koichi, et al.. (2000). Whole genome sequence-enabled prediction of sequences performed for random PCR products of Escherichia coli. Nucleic Acids Research. 28(9). 1879–1884. 24 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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