Mohd Danishuddin

1.5k citations
39 papers · 1.1k indexed · h-index 17
Topics
Computational Drug Discovery Methods (12 papers)Antibiotic Resistance in Bacteria (8 papers)Epigenetics and DNA Methylation (4 papers)

In The Last Decade

Mohd Danishuddin

36 papers receiving 1.1k citations

Peers

Mohd Danishuddin
Comparison fields: 5 of 129
  • Molecular Biology 478
  • Computational Theory and Mathematics 366
  • Organic Chemistry 146
  • Molecular Medicine 127
  • Pharmacology 121
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
Aqel Albutti Saudi Arabia
Mohd Danishuddin relative to Yusuf Akhter India Yusuf Akhter's profile →
Citations per field
00.5×3.4×
Yusuf Akhter · 1×
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-authorship network of co-authors of Mohd Danishuddin

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Danishuddin. A scholar is included among the top collaborators of Mohd Danishuddin 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 Mohd Danishuddin. Mohd Danishuddin 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
#WorkIndexed citations
1 0
2 1
3 0
4 32
5 0
6 10
7 7
8 49
9 12
10 266
11 153
12 38
13 54
14 21
15 8
16 27
17 8
18 8
19 9
20 24

About Mohd Danishuddin

Mohd Danishuddin is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Periodontics, 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) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Medicine (127 citations), Computational Theory and Mathematics (366 citations) and Periodontics (96 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 Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

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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