Sajjeev Jagannathan

1.1k total citations
22 papers, 735 citations indexed

About

Sajjeev Jagannathan is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Sajjeev Jagannathan has authored 22 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Epidemiology. Recurrent topics in Sajjeev Jagannathan's work include Ubiquitin and proteasome pathways (8 papers), Protein Degradation and Inhibitors (5 papers) and Cancer Mechanisms and Therapy (3 papers). Sajjeev Jagannathan is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Protein Degradation and Inhibitors (5 papers) and Cancer Mechanisms and Therapy (3 papers). Sajjeev Jagannathan collaborates with scholars based in United States, Egypt and Netherlands. Sajjeev Jagannathan's co-authors include James J. Driscoll, Ehsan Malek, Nikhil Vad, Artem Barski, Masashi Yukawa, Kenneth C. Anderson, Andrey Kartashov, Matthew T. Weirauch, Xiaoting Chen and Sivakumar Vallabhapurapu and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sajjeev Jagannathan

21 papers receiving 732 citations

Peers

Sajjeev Jagannathan
Comparison fields: 5 of 74
  • Molecular Biology 525
  • Cancer Research 260
  • Oncology 119
  • Immunology 105
  • Epidemiology 102
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Lan Dai China
Brian Freie United States
Xiaomin Zhong China
Zhen Cai China
Valentina Serafin Italy
Xiaopeng Cui China
Kendra Allton United States
Yojiro Kotake Japan
Andrew L. Wolfe United States
Lan Dai China View profile →
Citations per field, relative to Sajjeev Jagannathan
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Citations per year, relative to Sajjeev Jagannathan
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Countries citing papers authored by Sajjeev Jagannathan

Since Specialization
Citations

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

Fields of papers citing papers by Sajjeev Jagannathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajjeev Jagannathan

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 16
2 106
3 2
4 51
5 1
6 2
7 48
8 1
9 86
10 1
11 1
12 1
13 71
14 1
15 70
16 153
17 1
18 32
19 53
20 1

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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