Nisha K. Shah

2.2k citations
58 papers · 1.8k indexed · h-index 21

Nisha K. Shah

56 papers receiving 1.7k citations

Peers

Nisha K. Shah
Comparison fields: 5 of 114
  • Metals and Alloys 180
  • Water Science and Technology 538
  • Organic Chemistry 489
  • Civil and Structural Engineering 358
  • Analytical Chemistry 155
Replace Nadia G. Kandile with:
Nadia G. Kandile Egypt
Maram T.H. Abou Kana Egypt
Shao-Ling Wu China
Mahnaz Amiri Iran
Abhinay Thakur India
Yimeng Zhang China
Nelcy Della Santina Mohallem Brazil
Saâd Moulay Algeria
Balaram Pani India
Nisha K. Shah relative to Nadia G. Kandile Egypt Nadia G. Kandile's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nisha K. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nisha K. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisha K. Shah. 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 Nisha K. Shah. The network helps show where Nisha K. Shah may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 202033
3 201814
4 201815
5 201811
6 201726
7 201714
8 2016239
9
Adsorption of Copper from an Aqueous Solution by Chemically Modified Cassava Starch
201611
10 201529
11 20156
12 201519
13 20151
14
Inhibition of Al-Mg alloy in hydrochloric acid using Schiff bases as corrosion inhibitors
20121
15
The Study of Corrosion Inhibition of Al-pure in HCl by Some New Organic Schiff Bases Using Chemical and Electrochemical Methods
20121
16 200917
17 200927
18
Some Schiff bases as corrosion inhibitors for zinc in sulphuric acid
20084
19
Evaluation Of Synthesized Cross-linked Tragacanth As A Potential Disintegrant
199711
20 19859

About Nisha K. Shah

Nisha K. Shah is a scholar working on Metals and Alloys, Organic Chemistry and Civil and Structural Engineering, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (21 papers), Concrete Corrosion and Durability (15 papers), Synthesis and biological activity (9 papers), Adsorption and biosorption for pollutant removal (8 papers), Nanomaterials for catalytic reactions (7 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers), Inorganic and Organometallic Chemistry (6 papers) and Multicomponent Synthesis of Heterocycles (4 papers). The work is most often cited by research in Metals and Alloys (180 citations), Water Science and Technology (538 citations) and Organic Chemistry (489 citations). Nisha K. Shah has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Nirav P. Raval, Prapti U. Shah, J. D. Talati, M.N. Desai, Barbara Brodsky, Y. K. Agrawal, Chien M. Wai, P.M. George, Pathik S. Brahmkshatriya and Prakash C. Jha. Their work appears in journals such as Analytical Chemistry, The FASEB Journal and Journal of Environmental Management.

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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