Deepak Kolippakkam

3.1k total citations
9 papers, 526 citations indexed

About

Deepak Kolippakkam is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Deepak Kolippakkam has authored 9 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Physiology. Recurrent topics in Deepak Kolippakkam's work include Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Deepak Kolippakkam is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Deepak Kolippakkam collaborates with scholars based in United States. Deepak Kolippakkam's co-authors include Steven P. Gygi, Bo Zhai, Joel M. Chick, Ramin Rad, David P. Nusinow, Edward L. Huttlin, Laura Beretta, Venkatarajan S. Mathura, Keane K. Y. Lai and Garrett C. Booth and has published in prestigious journals such as Nature Biotechnology, Hepatology and Cancer Research.

In The Last Decade

Deepak Kolippakkam

9 papers receiving 513 citations

Peers

Deepak Kolippakkam
Comparison fields: 5 of 85
  • Molecular Biology 377
  • Spectroscopy 255
  • Physiology 45
  • Oncology 39
  • Epidemiology 34
Replace Martin Ethier with:
Martin Ethier Canada
Paolo Inglese United Kingdom
Jorge Fernández-de-Cossío Cuba
Sujun Li United States
Yashu Liu China
Daniel Walther Switzerland
Yongchao Luo China
Leonardo Briganti Italy
Jörg Ackermann Germany
Martin Ethier Canada View profile →
Citations per field, relative to Deepak Kolippakkam
Deepak Kolippakkam · 1×
Citations per year, relative to Deepak Kolippakkam
Deepak Kolippakkam · 1×

Countries citing papers authored by Deepak Kolippakkam

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kolippakkam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kolippakkam

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kolippakkam. A scholar is included among the top collaborators of Deepak Kolippakkam 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 Deepak Kolippakkam. Deepak Kolippakkam 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
1 317
2 58
3 31
4 14
5 30
6 13
7 32
8
Mining "hidden phrase" definitions from the web
1
9
Feature Extraction for Image Mining.
30

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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