Somdutt Mujwar

99 papers receiving 1.9k citations

Somdutt Mujwar's Hit Papers

Doxorubicin—An Agent with Multiple Mechanisms of Anticancer Activity 2023 · 447 citations
4470+1+2Years since publication100200300400

Peers

Somdutt Mujwar
Comparison fields: 5 of 118
  • Computational Theory and Mathematics 427
  • Complementary and alternative medicine 126
  • Organic Chemistry 466
  • Pharmacology 118
  • Pharmacology 220
Replace Chengyuan Liang with:
Chengyuan Liang China
Jaspreet Kaur Dhanjal India
Manikanta Murahari India
Saleha Anwar India
Manish Tripathi India
Prashant S. Kharkar India
Zunnan Huang China
Vinod Kumar India
Zheying Zhu United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Somdutt Mujwar

Since Specialization
Citations

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

Fields of papers citing papers by Somdutt Mujwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Doxorubicin—An Agent with Multiple Mechanisms of Anticancer Activity
Hit paper breakdown →
2023447
2 202079
3 202274
4 202268
5 202059
6 202356
7 202355
8 202149
9 202344
10 202342
11 201938
12 201935
13 202034
14 202234
15 202233
16 202032
17 201932
18 202330
19 202229
20 202229

About Somdutt Mujwar

Somdutt Mujwar is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Pharmacology and Complementary and alternative medicine, having authored 105 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (34 papers), Synthesis and biological activity (27 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Synthesis and Characterization of Heterocyclic Compounds (10 papers), Synthesis and Biological Evaluation (7 papers), Bioactive Compounds and Antitumor Agents (6 papers), Inflammatory mediators and NSAID effects (6 papers) and Multicomponent Synthesis of Heterocycles (5 papers). The work is most often cited by research in Computational Theory and Mathematics (427 citations), Complementary and alternative medicine (126 citations), Organic Chemistry (466 citations), Pharmacology (118 citations) and Pharmacology (220 citations). Somdutt Mujwar has collaborated with scholars based in India, Saudi Arabia and Poland. Frequent co-authors include Mateusz Kciuk, Renata Kontek, Adrianna Gielecińska, İsmail Çeli̇k, Damian Kołat, Żaneta Kałuzińska‐Kołat, Jeetendra Kumar Gupta, Mariusz Mojzych, Kamal Raj Pardasani and Kamal Shah. Their work appears in journals such as Molecules, International Journal of Molecular Sciences, Assay and Drug Development Technologies, Frontiers in Chemistry and Scientific Reports.

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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