Shiva Dastjerdi

2.4k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Shiva Dastjerdi is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Shiva Dastjerdi has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Oncology. Recurrent topics in Shiva Dastjerdi's work include Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers) and RNA Interference and Gene Delivery (2 papers). Shiva Dastjerdi is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers) and RNA Interference and Gene Delivery (2 papers). Shiva Dastjerdi collaborates with scholars based in United States, Austria and Switzerland. Shiva Dastjerdi's co-authors include Joshiawa Paulk, James E. Bradner, Dennis L. Buckley, Behnam Nabet, Georg Winter, Justin M. Roberts, Amanda Souza, Thomas G. Scott, Michael A. Erb and Nathanael S. Gray and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Shiva Dastjerdi

7 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The dTAG system for immediate and target-specific protein degradation

2018 652 citations Behnam Nabet, Justin M. Roberts et al. Nature Chemical Biology profile →

Peers

Shiva Dastjerdi

MB

ONCOL

HEMAT

IMMUN

GENET

Georg Winter United States

Christian B. Gocke United States

Antonio Marzio United States

Sven Fraterman Germany

Morgan E. Diolaiti United States

Doris Hellerschmied Germany

James T. Lynch United Kingdom

Evelyne Lima‐Fernandes Canada

Mercedes Dosil Spain

Jianxuan Zhang United States

Georg Winter United States

Shiva Dastjerdi

1.8k ×1.6

MB

589 ×2.2

ONCOL

300 ×1.7

HEMAT

90 ×1.5

IMMUN

71 ×1.3

GENET

Citations per year, relative to Shiva Dastjerdi Shiva Dastjerdi (= 1×) peers Georg Winter

Countries citing papers authored by Shiva Dastjerdi

Since Specialization

Citations

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

Fields of papers citing papers by Shiva Dastjerdi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Dastjerdi

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Zhao, Jingyi, Vincent DiGiacomo, Shiva Dastjerdi, et al.. (2023). Small-molecule targeting of GPCR-independent noncanonical G-protein signaling in cancer. Proceedings of the National Academy of Sciences. 120(18). 8 indexed citations

2.

Nabet, Behnam, Justin M. Roberts, Dennis L. Buckley, et al.. (2018). The dTAG system for immediate and target-specific protein degradation. Nature Chemical Biology. 14(5). 431–441. 652 indexed citations breakdown →

3.

Erb, Michael A., Thomas G. Scott, Bin E. Li, et al.. (2017). Transcription control by the ENL YEATS domain in acute leukaemia. RePEc: Research Papers in Economics. 1 indexed citations

4.

Erb, Michael A., Thomas G. Scott, Bin E. Li, et al.. (2017). Transcription control by the ENL YEATS domain in acute leukaemia. Nature. 543(7644). 270–274. 204 indexed citations

5.

Remillard, David, Dennis L. Buckley, Joshiawa Paulk, et al.. (2017). Degradation of the BAF Complex Factor BRD9 by Heterobifunctional Ligands. Angewandte Chemie. 129(21). 5832–5837. 15 indexed citations

6.

Huang, Hai‐Tsang, Hyuk‐Soo Seo, Tinghu Zhang, et al.. (2017). MELK is not necessary for the proliferation of basal-like breast cancer cells. eLife. 6. 135 indexed citations

7.

Remillard, David, Dennis L. Buckley, Joshiawa Paulk, et al.. (2017). Degradation of the BAF Complex Factor BRD9 by Heterobifunctional Ligands. Angewandte Chemie International Edition. 56(21). 5738–5743. 204 indexed citations

8.

Erb, Michael A., Georg Winter, Shiva Dastjerdi, et al.. (2016). Transcription control by the ENL YEATS domain in acute leukemia. European Journal of Cancer. 69. S85–S86.

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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