Sahika Inal

16.2k citations
149 papers · 13.4k indexed · 9 hit papers · h-index 59

Impact in

Papers in

Sahika Inal

146 papers receiving 13.3k citations

Hit Papers

Designing organic mixed conductors for electrochemical transistor applications 2024 · 89 citations
89201320262017202150010001.5k

Peers

Sahika Inal
Comparison fields: 5 of 121
  • Polymers and Plastics 9.2k
  • Bioengineering 2.0k
  • Electrical and Electronic Engineering 8.9k
  • Biomedical Engineering 5.0k
  • Electrochemistry 614
Replace Xavier Crispin with:
Xavier Crispin Sweden
Jonathan Rivnay United States
Mats Fahlman Sweden
Joon Hak Oh South Korea
Jadranka Travaš‐Sejdić New Zealand
Taek Dong Chung South Korea
Yunlong Guo China
Toribio F. Otero Spain
Jianguo Mei United States
Myung‐Han Yoon South Korea
Sahika Inal relative to Xavier Crispin Sweden Xavier Crispin's profile →
Citations per field
00.5×1.5×
Xavier Crispin · 1×
Citations per year

Countries citing papers authored by Sahika Inal

Since Specialization
Citations

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

Fields of papers citing papers by Sahika Inal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202520
2 20254
3 20250
4 20252
5 20252
6 202423
7 20243
8 202416
9 202434
10 202359
11 20236
12 202239
13 20224
14 202199
15 202197
16 202112
17 202148
18 202042
19 201961
20 201980

About Sahika Inal

Sahika Inal is a scholar working on Polymers and Plastics, Bioengineering, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Electrochemistry, having authored 149 papers that have together received 13.4k indexed citations. Recurring topics across this work include Conducting polymers and applications (110 papers), Organic Electronics and Photovoltaics (48 papers), Advanced Sensor and Energy Harvesting Materials (42 papers), Analytical Chemistry and Sensors (40 papers), Electrochemical sensors and biosensors (24 papers), Neuroscience and Neural Engineering (24 papers), Perovskite Materials and Applications (19 papers) and Advanced Memory and Neural Computing (16 papers). The work is most often cited by research in Polymers and Plastics (9.2k citations), Bioengineering (2.0k citations), Electrical and Electronic Engineering (8.9k citations), Biomedical Engineering (5.0k citations) and Electrochemistry (614 citations). Sahika Inal has collaborated with scholars based in Saudi Arabia, United Kingdom and United States. Frequent co-authors include Jonathan Rivnay, George G. Malliaras, Iain McCulloch, David Ohayon, Róisı́n M. Owens, Alberto Salleo, Magnus Berggren, Shofarul Wustoni, Achilleas Savva and Dieter Neher. Their work appears in journals such as Advanced Functional Materials, Advanced Materials, Chemistry of Materials, Nature Communications and Journal of Materials Chemistry C.

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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