Michelle D. Tadmor

5.9k total citations · 4 hit papers
6 papers, 3.5k citations indexed

About

Michelle D. Tadmor is a scholar working on Molecular Biology, Biophysics and Hematology. According to data from OpenAlex, Michelle D. Tadmor has authored 6 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Hematology. Recurrent topics in Michelle D. Tadmor's work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers) and Acute Myeloid Leukemia Research (2 papers). Michelle D. Tadmor is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers) and Acute Myeloid Leukemia Research (2 papers). Michelle D. Tadmor collaborates with scholars based in United States, Switzerland and Israel. Michelle D. Tadmor's co-authors include Dana Pe’er, Sean C. Bendall, Kara L. Davis, Garry P. Nolan, Erin F. Simonds, El-ad David Amir, Jacob Levine, Smita Krishnaswamy, Ina Radtke and Harris G. Fienberg and has published in prestigious journals such as Cell, Nature Biotechnology and Nature Methods.

In The Last Decade

Michelle D. Tadmor

6 papers receiving 3.5k citations

Hit Papers

Data-Driven Phenotypic Dissection of AML Reveals Progenit... 2013 2026 2017 2021 2015 2013 2014 2016 400 800 1.2k

Peers

Michelle D. Tadmor
Comparison fields: 5 of 129
  • Molecular Biology 2.4k
  • Immunology 1.1k
  • Biophysics 791
  • Oncology 483
  • Cancer Research 398
Replace Eli R. Zunder with:
Eli R. Zunder United States
Kara L. Davis United States
Florian Buettner Germany
Robert V. Bruggner United States
Nikolay Samusik United States
Philipp Angerer Germany
Astraea Jager United States
Wiggert A. van Cappellen Netherlands
Wouter Saelens Belgium
Michael Morse United States
Eli R. Zunder United States View profile →
Citations per field, relative to Michelle D. Tadmor
Michelle D. Tadmor · 1×
Citations per year, relative to Michelle D. Tadmor
Michelle D. Tadmor · 1×

Countries citing papers authored by Michelle D. Tadmor

Since Specialization
Citations

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

Fields of papers citing papers by Michelle D. Tadmor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle D. Tadmor. 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 Michelle D. Tadmor. The network helps show where Michelle D. Tadmor may publish in the future.

Co-authorship network of co-authors of Michelle D. Tadmor

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

All Works

6 of 6 papers shown
# Work Indexed citations
1
Wishbone identifies bifurcating developmental trajectories from single-cell data breakdown →
384
2 66
3
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis breakdown →
1279
4 31
5
Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development breakdown →
631
6
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia breakdown →
1099

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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2026