Anu Manhas

533 citations
52 papers · 411 · h-index 14

Impact in

Papers in

    • Synthesis and biological activity 12
    • Multicomponent Synthesis of Heterocycles 9
    • Chemical Synthesis and Reactions 4
    • Synthesis and Biological Evaluation 4
    • Cancer therapeutics and mechanisms 4

Anu Manhas

48 papers receiving 396 citations

Peers

Anu Manhas
Comparison fields: 5 of 77
  • Computational Theory and Mathematics 122
  • Organic Chemistry 167
  • Infectious Diseases 38
  • Molecular Biology 136
  • Toxicology 6
Replace Lokesh Chandra Mishra with:
Lokesh Chandra Mishra India
Karel Mena‐Ulecia Chile
Leila Emami Iran
Hsaine Zgou Morocco
Azizeh Abdolmaleki Iran
Anna Pachuta‐Stec Poland
John M. Clancy Ireland
Joshua Pottel Canada
Ana Paula Francisco Portugal
Anurag T. K. Baidya India
Anu Manhas relative to Lokesh Chandra Mishra India Lokesh Chandra Mishra's profile →
Citations per field
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Lokesh Chandra Mishra · 1×
Citations per year

Countries citing papers authored by Anu Manhas

Since Specialization
Citations

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

Fields of papers citing papers by Anu Manhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201527
2 201721
3 202120
4 201720
5 202019
6 202019
7 202219
8 201818
9 202318
10 201717
11 201916
12 202314
13 202014
14 201913
15 201812
16 201412
17 201612
18 202011
19 20179
20 20208

About Anu Manhas

Anu Manhas is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Materials Chemistry and Oncology, having authored 52 papers that have together received 411 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (12 papers), Multicomponent Synthesis of Heterocycles (9 papers), Molecular Sensors and Ion Detection (6 papers), Chemical Synthesis and Reactions (4 papers), Luminescence and Fluorescent Materials (4 papers), Cancer therapeutics and mechanisms (4 papers) and Synthesis and Biological Evaluation (4 papers). The work is most often cited by research in Computational Theory and Mathematics (122 citations), Organic Chemistry (167 citations), Infectious Diseases (38 citations), Molecular Biology (136 citations) and Toxicology (6 citations). Anu Manhas has collaborated with scholars based in India, Italy and Saudi Arabia. Frequent co-authors include Prakash C. Jha, Mohsin Y. Lone, Shikha Agarwal, Vijay Kumar, Ayushi Sethiya, Jay Soni, Niraj Upadhyay, Nusrat Sahiba, Mohd Athar and Pankaj Teli. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Cellular Biochemistry, Scientific Reports, Journal of Molecular Graphics and Modelling and Catalysis Letters.

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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