Eeshit Dhaval Vaishnav

4.2k total citations · 2 hit papers
5 papers, 968 citations indexed

About

Eeshit Dhaval Vaishnav is a scholar working on Molecular Biology, Artificial Intelligence and Hematology. According to data from OpenAlex, Eeshit Dhaval Vaishnav has authored 5 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Hematology. Recurrent topics in Eeshit Dhaval Vaishnav's work include Genomics and Chromatin Dynamics (2 papers), Gene Regulatory Network Analysis (1 paper) and Acute Myeloid Leukemia Research (1 paper). Eeshit Dhaval Vaishnav is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), Gene Regulatory Network Analysis (1 paper) and Acute Myeloid Leukemia Research (1 paper). Eeshit Dhaval Vaishnav collaborates with scholars based in United States, Sweden and Israel. Eeshit Dhaval Vaishnav's co-authors include Aviv Regev, Carl G. de Boer, Youmna Kfoury, Dongjun Lee, Nir Friedman, Ninib Baryawno, Nicolas Sévère, Karin Gustafsson, Monika S. Kowalczyk and François Mercier and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Eeshit Dhaval Vaishnav

5 papers receiving 962 citations

Hit Papers

A Cellular Taxonomy of the Bone Marrow Stroma in Homeosta... 2019 2026 2021 2023 2019 2022 100 200 300 400 500
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.

  1. A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemia
    2019 558 citations Ninib Baryawno, Dariusz Przybylski et al. Cell profile →
  2. The evolution, evolvability and engineering of gene regulatory DNA
    2022 130 citations Eeshit Dhaval Vaishnav, Carl G. de Boer et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eeshit Dhaval Vaishnav United States 5 571 261 188 176 135 5 968
Riccardo Panero Italy 7 403 0.7× 324 1.2× 236 1.3× 108 0.6× 111 0.8× 8 810
Weijia Wang Canada 15 627 1.1× 220 0.8× 176 0.9× 111 0.6× 130 1.0× 24 938
Thomas Stiehl Germany 21 528 0.9× 404 1.5× 135 0.7× 317 1.8× 233 1.7× 49 1.3k
Azucena Ramos United States 6 649 1.1× 432 1.7× 317 1.7× 135 0.8× 190 1.4× 9 1.2k
Mairi Shepherd United Kingdom 7 698 1.2× 382 1.5× 279 1.5× 162 0.9× 101 0.7× 9 1.1k
Erik Zwart Netherlands 12 573 1.0× 243 0.9× 177 0.9× 138 0.8× 135 1.0× 16 962
Alice M.S. Cheung Singapore 16 789 1.4× 538 2.1× 199 1.1× 238 1.4× 332 2.5× 39 1.3k
Björn Schneider Germany 22 502 0.9× 295 1.1× 137 0.7× 254 1.4× 242 1.8× 63 1.2k
Blanca Pijuan-Sala United Kingdom 8 1.1k 2.0× 220 0.8× 331 1.8× 63 0.4× 90 0.7× 9 1.4k
Lev Silberstein United States 9 972 1.7× 315 1.2× 409 2.2× 117 0.7× 156 1.2× 14 1.5k

Countries citing papers authored by Eeshit Dhaval Vaishnav

Since Specialization
Citations

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

Fields of papers citing papers by Eeshit Dhaval Vaishnav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eeshit Dhaval Vaishnav. 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 Eeshit Dhaval Vaishnav. The network helps show where Eeshit Dhaval Vaishnav may publish in the future.

Co-authorship network of co-authors of Eeshit Dhaval Vaishnav

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

All Works

5 of 5 papers shown
1.
Miller, Jeremy A., Jeongbin Park, Boudewijn P. F. Lelieveldt, et al.. (2023). Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain. Scientific Reports. 13(1). 9567–9567. 9 indexed citations
2.
Vaishnav, Eeshit Dhaval, Carl G. de Boer, Jennifer Molinet, et al.. (2022). The evolution, evolvability and engineering of gene regulatory DNA. Nature. 603(7901). 455–463. 130 indexed citations breakdown →
3.
Baryawno, Ninib, Dariusz Przybylski, Monika S. Kowalczyk, et al.. (2019). A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemia. Cell. 177(7). 1915–1932.e16. 558 indexed citations breakdown →
4.
Boer, Carl G. de, Eeshit Dhaval Vaishnav, Ronen Sadeh, et al.. (2019). Deciphering eukaryotic gene-regulatory logic with 100 million random promoters. Nature Biotechnology. 38(1). 56–65. 171 indexed citations
5.
Chanet, Soline, Callie Miller, Eeshit Dhaval Vaishnav, et al.. (2017). Actomyosin meshwork mechanosensing enables tissue shape to orient cell force. Nature Communications. 8(1). 15014–15014. 100 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Riccardo Panero Breakdown of academic impact, for papers by Weijia Wang Breakdown of academic impact, for papers by Thomas Stiehl Breakdown of academic impact, for papers by Azucena Ramos Breakdown of academic impact, for papers by Mairi Shepherd Breakdown of academic impact, for papers by Erik Zwart Breakdown of academic impact, for papers by Alice M.S. Cheung Breakdown of academic impact, for papers by Björn Schneider Breakdown of academic impact, for papers by Blanca Pijuan-Sala Breakdown of academic impact, for papers by Lev Silberstein
Rankless by CCL
2026