Mohd Danishuddin

1.5k citations
39 papers · 1.1k · h-index 17

Impact in

Papers in

Mohd Danishuddin

36 papers receiving 1.1k citations

Peers

Mohd Danishuddin
Comparison fields: 5 of 129
  • Molecular Medicine 127
  • Computational Theory and Mathematics 366
  • Periodontics 96
  • Pharmacology 73
  • Applied Microbiology and Biotechnology 15
Replace Yusuf Akhter with:
Yusuf Akhter India
Priyanka Sharma India
Tarek S. Ibrahim Egypt
Moataz A. Shaldam Egypt
Subhash Chandra India
Gary R. Eldridge United States
Mona I. Shaaban Egypt
Stella Cascioferro Italy
Arif Nur Muhammad Ansori Indonesia
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Citations per field
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Citations per year

Countries citing papers authored by Mohd Danishuddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Danishuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohd Danishuddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohd Danishuddin Line = papers co-authored together Mohd Danishuddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016266
2 2015153
3 2017115
4 201275
5 201354
6 202149
7 201438
8 202432
9 201227
10 200924
11 202324
12 201321
13 201320
14 201919
15 201218
16 201318
17 201417
18 200914
19 201812
20 202411

About Mohd Danishuddin

Mohd Danishuddin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Molecular Medicine, Pharmacology and Organic Chemistry, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Antibiotic Resistance in Bacteria (8 papers), Epigenetics and DNA Methylation (4 papers), Bacterial biofilms and quorum sensing (3 papers), Synthesis and biological activity (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Oral microbiology and periodontitis research (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Molecular Medicine (127 citations), Computational Theory and Mathematics (366 citations), Periodontics (96 citations), Pharmacology (73 citations) and Applied Microbiology and Biotechnology (15 citations). Mohd Danishuddin has collaborated with scholars based in India, South Korea and Bangladesh. Frequent co-authors include Asad U. Khan, Sadaf Hasan, Mohammad Faheem, Mohammad Hassan Baig, Gulam Rabbani, Khurshid Ahmad, Inho Choi, Shahper N. Khan, Praveen Kumar Verma and Md Tabish Rehman. Their work appears in journals such as PLoS ONE, Drug Discovery Today, SAR and QSAR in environmental research, Pharmaceuticals and The Journal of Gene Medicine.

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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