Md Arshad

19 papers receiving 361 citations

Peers

Md Arshad
Comparison fields: 5 of 91
  • Biochemistry 30
  • Complementary and alternative medicine 37
  • Pharmacology 35
  • Toxicology 9
  • Organic Chemistry 75
Replace Venkatesan Suryanarayanan with:
Venkatesan Suryanarayanan India
Afaf Aldahish Saudi Arabia
Elisa Vega‐Avila Mexico
Neha Atale India
Mohammed Faiz Arshad Saudi Arabia
Ghulam Nabi Bader India
Sharifah Sakinah Syed Alwi Malaysia
Mahesh M. Ghaisas India
Friedemann Börner Germany
Md Arshad relative to Venkatesan Suryanarayanan India Venkatesan Suryanarayanan's profile →
Citations per field
00.5×1.5×1.9×
Venkatesan Suryanarayanan · 1×
Citations per year

Countries citing papers authored by Md Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Md Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Md Arshad, 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 Md Arshad Line = papers co-authored together Md Arshad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201163
3 201349
4 201937
5 201928
6 202122
7 202213
8 202013
9 202112
10 202010
11 202010
12 202410
13 20229
14 20218
15 20256
16 20195
17 20231
18 20141
19 20241
20 20220

About Md Arshad

Md Arshad is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Nigella sativa pharmacological applications (3 papers), Computational Drug Discovery Methods (2 papers), Natural product bioactivities and synthesis (2 papers), Natural Antidiabetic Agents Studies (2 papers), Synthesis and biological activity (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Moringa oleifera research and applications (2 papers) and Nanoparticles: synthesis and applications (2 papers). The work is most often cited by research in Biochemistry (30 citations), Complementary and alternative medicine (37 citations), Pharmacology (35 citations), Toxicology (9 citations) and Organic Chemistry (75 citations). Md Arshad has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Asif Jafri, Anuradha Mishra, Saurabh Singh, Aqeel Ahmad, Ejaz Ahmad, Abdul Hameed Khan, Rizwan Hasan Khan, Mohammad Khushtar, Mohd Ajmal and Sahabjada Siddiqui. Their work appears in journals such as Journal of Traditional and Complementary Medicine, BMC Complementary Medicine and Therapies, European Journal of Medicinal Chemistry, Ceramics International and Journal of Hepatology.

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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