Shabarni Gaffar

902 citations
73 papers · 691 indexed · h-index 14
Topics
Advanced biosensing and bioanalysis techniques (31 papers)Biosensors and Analytical Detection (11 papers)SARS-CoV-2 detection and testing (10 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical BiochemistryScientific Reports
Partner nations
IndonesiaCyprusJapan

In The Last Decade

Shabarni Gaffar

65 papers receiving 667 citations

Peers

Shabarni Gaffar
Comparison fields: 5 of 98
  • Molecular Biology 459
  • Biomedical Engineering 230
  • Electrical and Electronic Engineering 160
  • Materials Chemistry 101
  • Infectious Diseases 91
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Liling Hao China
Fatima AlZahra’a Alatraktchi Denmark
Jinhua Wei China
Munna Singh Thakur India
Davide Migliorelli Switzerland
Chunxia Lu China
Lixia Fan China
Xiangdong Xu China
De Wang China
Shabarni Gaffar relative to Liling Hao China Liling Hao's profile →
Citations per field
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Liling Hao · 1×
Citations per year

Countries citing papers authored by Shabarni Gaffar

Since Specialization
Citations

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

Fields of papers citing papers by Shabarni Gaffar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shabarni Gaffar

This figure shows the co-authorship network connecting the top 25 collaborators of Shabarni Gaffar. A scholar is included among the top collaborators of Shabarni Gaffar 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 Shabarni Gaffar. Shabarni Gaffar 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 3
2 0
3 0
4 1
5 7
6 0
7 4
8 8
9 3
10 6
11 12
12 14
13 1
14 1
15 6
16 67
17 0
18 11
19 19
20 62

About Shabarni Gaffar

Shabarni Gaffar is a scholar working on Electrochemistry, Biotechnology and Molecular Biology, having authored 73 papers that have together received 691 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (31 papers), Biosensors and Analytical Detection (11 papers) and SARS-CoV-2 detection and testing (10 papers). The work is most often cited by research in Electrochemistry (67 citations), Molecular Biology (459 citations) and Bioengineering (36 citations). Shabarni Gaffar has collaborated with scholars based in Indonesia, Cyprus and Japan. Frequent co-authors include Yeni Wahyuni Hartati, Husein H. Bahti, Toto Subroto, Santhy Wyantuti, Gillian C. Baker, Don A. Cowan, Seda Nur Topkaya, Arif E. Çetin, Tati Herlina and Darmawan Hidayat. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Scientific Reports.

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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