Sunit Mandad

1.8k total citations · 1 hit paper
9 papers, 875 citations indexed

About

Sunit Mandad is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sunit Mandad has authored 9 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sunit Mandad's work include Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sunit Mandad is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sunit Mandad collaborates with scholars based in Germany, United States and Italy. Sunit Mandad's co-authors include Henning Urlaub, Silvio O. Rizzoli, Burkhard Rammner, Benjamin Wilhelm, M. Krauß, Katharina Kröhnert, Seong Joo Koo, Sven Truckenbrodt, Volker Haucke and Eugenio F. Fornasiero and has published in prestigious journals such as Science, Nature Neuroscience and Scientific Reports.

In The Last Decade

Sunit Mandad

9 papers receiving 873 citations

Hit Papers

Composition of isolated synaptic boutons reveals the amou... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers

Sunit Mandad
Comparison fields: 5 of 85
  • Molecular Biology 491
  • Cellular and Molecular Neuroscience 288
  • Cell Biology 287
  • Physiology 161
  • Neurology 132
Replace Madeline Pool with:
Madeline Pool Canada
Eugenio F. Fornasiero Germany
Sigrun Nestel Germany
Karine Pozo United States
Vidhya Rangaraju Germany
Tetsuya Takano Japan
Noah W. Gray United States
Panayiotis Tsokas United States
Filippo Casoni Italy
Caroline G. Bergner Germany
Madeline Pool Canada View profile →
Citations per field, relative to Sunit Mandad
Sunit Mandad · 1×
Citations per year, relative to Sunit Mandad
Sunit Mandad · 1×

Countries citing papers authored by Sunit Mandad

Since Specialization
Citations

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

Fields of papers citing papers by Sunit Mandad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunit Mandad

This figure shows the co-authorship network connecting the top 25 collaborators of Sunit Mandad. A scholar is included among the top collaborators of Sunit Mandad 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 Sunit Mandad. Sunit Mandad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 38
2 69
3 1
4 6
5 25
6 41
7 19
8 148
9
Composition of isolated synaptic boutons reveals the amounts of vesicle trafficking proteins breakdown →
528

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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