Shajna Begum

2.2k citations
31 papers · 1.8k indexed · h-index 24
    • Sulfur Compounds in Biology 3
    • Muscle Physiology and Disorders 4
    • Redox biology and oxidative stress 4
    • Metabolomics and Mass Spectrometry Studies 2
    • Mitochondrial Function and Pathology 2
    • Advanced Proteomics Techniques and Applications 5
    • Mass Spectrometry Techniques and Applications 3
    • interferon and immune responses 2

Shajna Begum

30 papers receiving 1.8k citations

Peers

Shajna Begum
Comparison fields: 5 of 110
  • Biochemistry 211
  • Molecular Biology 1.2k
  • Cell Biology 289
  • Spectroscopy 220
  • Clinical Biochemistry 88
Replace Ida Chiara Guerrera with:
Ida Chiara Guerrera France
Kazuishi Kubota Japan
Insil Kim United States
David Meierhofer Germany
Michael J. Rindler United States
Hans Hansen Denmark
Peipei Wang China
Colvin M. Redman United States
Lili Zhang China
Dennis B. Rylatt Australia
Shajna Begum relative to Ida Chiara Guerrera France Ida Chiara Guerrera's profile →
Citations per field
00.5×1.5×2.4×
Ida Chiara Guerrera · 1×
Citations per year

Countries citing papers authored by Shajna Begum

Since Specialization
Citations

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

Fields of papers citing papers by Shajna Begum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201244
2 201035
3 20093
4 200762
5 2007168
6 200733
7
Direct activation of Type I protein kinase a (PKA) by oxidants independently of cAMP is mediated by RI subunit interprotein disulphide bond formation
200624
8 2006203
9 2006107
10 200653
11 200545
12 20057
13 200516
14 2005113
15 200528
16 200578
17 20047
18 2004169
19 2004132
20 200375

About Shajna Begum

Shajna Begum is a scholar working on Clinical Biochemistry, Biochemistry and Cell Biology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Muscle Physiology and Disorders (4 papers), Redox biology and oxidative stress (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Sulfur Compounds in Biology (3 papers), interferon and immune responses (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Biochemistry (211 citations), Molecular Biology (1.2k citations) and Cell Biology (289 citations). Shajna Begum has collaborated with scholars based in United Kingdom, Italy and Ireland. Frequent co-authors include Robin Wait, Philip Eaton, Jonathan P. Brennan, Michael J. Dünn, Jeremy Saklatvala, Ewald Schröder, William Fuller, Cecilia Gelfi, Agnese Viganò and James Bell. Their work appears in journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

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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