Manisha Tiwari

3.0k citations
78 papers · 2.5k indexed · 2 hit papers · h-index 29

Manisha Tiwari

72 papers receiving 2.4k citations

Hit Papers

Modelling supply chain Visibility, digital Technologies, ...442024202620251020304050

Peers

Manisha Tiwari
Comparison fields: 5 of 156
  • Pharmacology 679
  • Complementary and alternative medicine 322
  • Organic Chemistry 965
  • Computational Theory and Mathematics 377
  • Molecular Biology 848
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Sai‐Sai Xie China
Anna Więckowska Poland
Katarina Nikolić Serbia
Saverio Cellamare Italy
Baldev Singh India
Kristi Fan United States
Renren Bai China
Maninder Kaur India
Rong Sheng China
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Manisha Tiwari relative to Sai‐Sai Xie China Sai‐Sai Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manisha Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20245
4
Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspectivebreakdown →
202444
5 202313
6 202033
7 201965
8 201694
9 201663
10 201533
11 201515
12 201521
13 2014177
14 201284
15 201120
16 200923
17 20085
18 200320
19 200110
20 200130

About Manisha Tiwari

Manisha Tiwari is a scholar working on Pharmacology, Complementary and alternative medicine and Computational Theory and Mathematics, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (21 papers), Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (9 papers), Enzyme function and inhibition (9 papers), Medicinal Plants and Neuroprotection (8 papers), Synthesis and Catalytic Reactions (8 papers), Alzheimer's disease research and treatments (8 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Pharmacology (679 citations), Complementary and alternative medicine (322 citations) and Organic Chemistry (965 citations). Manisha Tiwari has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Chandra Bhushan Mishra, Shikha Kumari, Meenakshi Sharma, Claudiu T. Supuran, Apra Manral, Poonam Meena, Vikas Saini, Rakesh Kumar Tiwari, Santosh Kumar and Avninder Singh. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, RSC Advances, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry 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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