Aziz Unnisa

536 citations
39 papers · 327 indexed · h-index 10
Topics
Analytical Methods in Pharmaceuticals (6 papers)Advancements in Transdermal Drug Delivery (5 papers)Computational Drug Discovery Methods (5 papers)
Journals
SHILAP Revista de lepidopterologíaCurrent Medicinal ChemistryMaterials

In The Last Decade

Aziz Unnisa

33 papers receiving 320 citations

Peers

Aziz Unnisa
Comparison fields: 5 of 95
  • Molecular Biology 101
  • Pharmaceutical Science 59
  • Organic Chemistry 56
  • Biomaterials 33
  • Endocrinology, Diabetes and Metabolism 25
Replace Suman Manandhar with:
Suman Manandhar India
Christian Kretzer Germany
Sattam Khulaif Alenezi Saudi Arabia
Ahmed M. Fayez Egypt
M. Arockia Babu India
Mariana Colombo Brazil
Dezhong Sun China
Soad Z. El‐Emam Egypt
Rasheed A. Shaik Saudi Arabia
A. Amri France
Aziz Unnisa relative to Suman Manandhar India Suman Manandhar's profile →
Citations per field
00.5×3.5×
Suman Manandhar · 1×
Citations per year

Countries citing papers authored by Aziz Unnisa

Since Specialization
Citations

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

Fields of papers citing papers by Aziz Unnisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aziz Unnisa

This figure shows the co-authorship network connecting the top 25 collaborators of Aziz Unnisa. A scholar is included among the top collaborators of Aziz Unnisa 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 Aziz Unnisa. Aziz Unnisa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 4
3 0
4 4
5 16
6 17
7 1
8 0
9 1
10 0
11 1
12 1
13 1
14 17
15 7
16 9
17 24
18
DEVELOPMENT AND VALIDATION OF RP-HPLC-PDA METHOD FOR THE ESTIMATION OF MACITENTAN IN BULK AND TABLET DOSAGE FORMS.
1
19
APPLICATION OF MOLECULAR SALT FORMATION REACTIONS OF PICRIC ACID AND CITRIC ACID -ACETIC ANHYDRATE SYSTEM WITH CINITAPRIDE TARTRATE FOR ESTIMATION OF THE DRUG IN BULK AND PHARMACEUTICAL FORMULATIONS
0
20 3

About Aziz Unnisa

Aziz Unnisa is a scholar working on Pharmaceutical Science, Analytical Chemistry and Pharmacology, having authored 39 papers that have together received 327 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (6 papers), Advancements in Transdermal Drug Delivery (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Pharmaceutical Science (59 citations), Biomaterials (33 citations) and Pharmacology (19 citations). Aziz Unnisa has collaborated with scholars based in Saudi Arabia, India and Bangladesh. Frequent co-authors include Mohammad Amjad Kamal, Nigel H. Greig, Ananda Kumar Chettupalli, Talib Hussain, Mohammad Khalid, Sharuk L. Khan, Falak A. Siddiqui, Amr S. Abouzied, Turki Al Hagbani and Kesavanarayanan Krishnan Selvarajan. Their work appears in journals such as SHILAP Revista de lepidopterología, Current Medicinal Chemistry and Materials.

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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