Sam Mathew
Impact in
- Molecular Biology top 10%
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- Enzyme Catalysis and Immobilization 17
- RNA and protein synthesis mechanisms 1
- Protein Structure and Dynamics 1
-
- Enzyme Production and Characterization 1
- Co-authors
- Hyungdon Yun (14 shared papers)Taeowan Chung (5 shared papers)Saravanan Prabhu Nadarajan (6 shared papers)Giyoung Shin (6 shared papers)Byung‐Gee Kim (5 shared papers)Magnus Rueping (4 shared papers)Sang‐Hyeup Lee (4 shared papers)Kanagavel Deepankumar (4 shared papers)
- Journals
- ACS Catalysis (3 papers)Chemical Communications (3 papers)Advanced Synthesis & Catalysis (1 paper)ChemCatChem (1 paper)Communications Chemistry (1 paper)
- Partner nations
- South KoreaSaudi ArabiaGermany
In The Last Decade
Sam Mathew
20 papers receiving 891 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 789
- Biotechnology 46
- Organic Chemistry 98
- Inorganic Chemistry 29
- Biochemistry 9
Countries citing papers authored by Sam Mathew
This map shows the geographic impact of Sam Mathew'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 Sam Mathew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Mathew more than expected).
Fields of papers citing papers by Sam Mathew
This network shows the impact of papers produced by Sam Mathew. 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 Sam Mathew. The network helps show where Sam Mathew may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Mathew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 278 | |
| 2 | 2016 | 75 | |
| 3 | 2013 | 58 | |
| 4 | 2014 | 48 | |
| 5 | 2014 | 48 | |
| 6 | 2020 | 45 | |
| 7 | 2023 | 45 | |
| 8 | 2012 | 43 | |
| 9 | 2015 | 38 | |
| 10 | 2021 | 37 | |
| 11 | 2016 | 36 | |
| 12 | 2015 | 35 | |
| 13 | 2018 | 33 | |
| 14 | 2016 | 27 | |
| 15 | 2014 | 25 | |
| 16 | 2013 | 23 | |
| 17 | 2014 | 15 | |
| 18 | 2022 | 8 | |
| 19 | 2012 | 6 | |
| 20 | 2025 | 2 |
About Sam Mathew
Sam Mathew is a scholar working on Molecular Biology, Biotechnology, Organic Chemistry, Biomedical Engineering and Materials Chemistry, having authored 20 papers that have together received 925 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (17 papers), RNA and protein synthesis mechanisms (1 paper), Protein Structure and Dynamics (1 paper), Enzyme Production and Characterization (1 paper), Enzyme Structure and Function (1 paper), Catalytic Alkyne Reactions (1 paper), 3D Printing in Biomedical Research (1 paper) and Asymmetric Synthesis and Catalysis (1 paper). The work is most often cited by research in Molecular Biology (789 citations), Biotechnology (46 citations), Organic Chemistry (98 citations), Inorganic Chemistry (29 citations) and Biochemistry (9 citations). Sam Mathew has collaborated with scholars based in South Korea, Saudi Arabia and Germany. Frequent co-authors include Hyungdon Yun, Taeowan Chung, Saravanan Prabhu Nadarajan, Giyoung Shin, Byung‐Gee Kim, Magnus Rueping, Sang‐Hyeup Lee, Kanagavel Deepankumar, Hyun Ho Park and Eun Young Hong. Their work appears in journals such as ACS Catalysis, Chemical Communications, Advanced Synthesis & Catalysis, ChemCatChem and Communications Chemistry.
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.