Thet Thet Htar

910 citations
41 papers · 671 indexed · h-index 18
Topics
Computational Drug Discovery Methods (9 papers)Synthesis and biological activity (8 papers)Phytochemicals and Antioxidant Activities (8 papers)
Partner nations
MalaysiaPakistanChina

In The Last Decade

Thet Thet Htar

40 papers receiving 652 citations

Peers

Thet Thet Htar
Comparison fields: 5 of 108
  • Molecular Biology 229
  • Organic Chemistry 153
  • Biochemistry 103
  • Plant Science 100
  • Food Science 77
Replace Tahir Ali Chohan with:
Tahir Ali Chohan Pakistan
Laura Machín Cuba
Nora M. Aborehab Egypt
Sukhbir Lal Khokra India
Abdulwahab Alamri Saudi Arabia
Kamila Środa-Pomianek Poland
Ahmed Abdullah Al Awadh Saudi Arabia
Wafa Ali Eltayb Sudan
Tamilselvam Rajavel India
Rana M. Merghany Egypt
Thet Thet Htar relative to Tahir Ali Chohan Pakistan Tahir Ali Chohan's profile →
Citations per field
00.5×1.5×1.8×
Tahir Ali Chohan · 1×
Citations per year

Countries citing papers authored by Thet Thet Htar

Since Specialization
Citations

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

Fields of papers citing papers by Thet Thet Htar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thet Thet Htar

This figure shows the co-authorship network connecting the top 25 collaborators of Thet Thet Htar. A scholar is included among the top collaborators of Thet Thet Htar 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 Thet Thet Htar. Thet Thet Htar 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 0
2 4
3 24
4 2
5 40
6 4
7 5
8 20
9 16
10 14
11 20
12 16
13 43
14 22
15 17
16 44
17 19
18
Therapeutic properties of saffron and its chemical constituents
11
19 48
20 20

About Thet Thet Htar

Thet Thet Htar is a scholar working on Biochemistry, Computational Theory and Mathematics and Dermatology, having authored 41 papers that have together received 671 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Synthesis and biological activity (8 papers) and Phytochemicals and Antioxidant Activities (8 papers). The work is most often cited by research in Biochemistry (103 citations), Pharmaceutical Science (36 citations) and Organic Chemistry (153 citations). Thet Thet Htar has collaborated with scholars based in Malaysia, Pakistan and China. Frequent co-authors include Lay‐Hong Chuah, Nafees Ahemad, Rakesh Naidu, Shafi Ullah Khan, Hammad Saleem, Claire Simons, Gabriel Akyirem Akowuah, Irshad Ahmad, Gökhan Zengin and Qin‐Pei Wu. Their work appears in journals such as International Journal of Molecular Sciences, Molecules and RSC Advances.

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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