Shah Zada

31 total papers · 1.2k total citations
25 papers, 944 citations indexed

About

Shah Zada is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Shah Zada has authored 25 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 11 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Shah Zada's work include Nanoparticles: synthesis and applications (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Extracellular vesicles in disease (4 papers). Shah Zada is often cited by papers focused on Nanoparticles: synthesis and applications (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Extracellular vesicles in disease (4 papers). Shah Zada collaborates with scholars based in China, Pakistan and Saudi Arabia. Shah Zada's co-authors include Pengcheng Fu, Haifeng Dong, Sikandar Khan, Huiting Lu, Xueji Zhang, Kai Zhang, Xiangdan Meng, Aftab Ahmad, Yaru Cheng and Yiyi Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Scientific Reports.

In The Last Decade

Shah Zada

24 papers receiving 936 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shah Zada	563	444	136	132	100	25	944
Beata Czarczyńska-Goślińska	394 0.7×	301 0.7×	155 1.1×	72 0.5×	42 0.4×	26	1.0k
Ratna Tantra	516 0.9×	385 0.9×	46 0.3×	155 1.2×	91 0.9×	32	1.1k
Yanyan Liu	337 0.6×	479 1.1×	156 1.1×	142 1.1×	193 1.9×	42	1.1k
Yun Wang	265 0.5×	539 1.2×	181 1.3×	190 1.4×	116 1.2×	36	999
Paula S. Haddad	396 0.7×	323 0.7×	145 1.1×	124 0.9×	58 0.6×	42	997
Farahnaz Barahuie	401 0.7×	265 0.6×	113 0.8×	73 0.6×	45 0.5×	27	869
Braj Raj Shrivastav	489 0.9×	243 0.5×	77 0.6×	134 1.0×	55 0.6×	29	832
Wali Muhammad	462 0.8×	219 0.5×	115 0.8×	110 0.8×	101 1.0×	46	917
Anderson J. Gomes	284 0.5×	283 0.6×	70 0.5×	150 1.1×	79 0.8×	34	981
Sonit Kumar Gogoi	841 1.5×	339 0.8×	76 0.6×	174 1.3×	74 0.7×	20	1.1k

Countries citing papers authored by Shah Zada

Since Specialization

Citations

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

Fields of papers citing papers by Shah Zada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shah Zada

This figure shows the co-authorship network connecting the top 25 collaborators of Shah Zada. A scholar is included among the top collaborators of Shah Zada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shah Zada. Shah Zada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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