Mairi Shepherd

2.0k total citations · 2 hit papers
9 papers, 1.1k citations indexed

About

Mairi Shepherd is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Mairi Shepherd has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Mairi Shepherd's work include Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Single-cell and spatial transcriptomics (4 papers). Mairi Shepherd is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Single-cell and spatial transcriptomics (4 papers). Mairi Shepherd collaborates with scholars based in United Kingdom, United States and Switzerland. Mairi Shepherd's co-authors include David G. Kent, Elisa Laurenti, Berthold Göttgens, Fiona Hamey, Evangelia Diamanti, Nicola K. Wilson, Sonia Nestorowa, Blanca Pijuan-Sala, Miriam Belmonte and Anthony R. Green and has published in prestigious journals such as Nature, Blood and Stem Cell Reports.

In The Last Decade

Mairi Shepherd

9 papers receiving 1.1k citations

Hit Papers

A single-cell resolution map of mouse hematopoietic stem ... 2016 2026 2019 2022 2016 2018 100 200 300 400
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 single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
    2016 473 citations Sonia Nestorowa, Fiona Hamey et al. Blood profile →
  2. Population dynamics of normal human blood inferred from somatic mutations
    2018 374 citations Henry Lee-Six, Nina Friesgaard Øbro et al. Nature profile →

Peers

Mairi Shepherd
Lev Silberstein United States
Eeshit Dhaval Vaishnav United States
Simon Raffel Germany
Azucena Ramos United States
Blanca Pijuan-Sala United Kingdom
Leif S. Ludwig United States
Riccardo Panero Italy
Jianlong Sun United States
Erik Zwart Netherlands
Patrick M. Helbling Switzerland
Lev Silberstein United States
Mairi Shepherd
Citations per year, relative to Mairi Shepherd Mairi Shepherd (= 1×) peers Lev Silberstein

Countries citing papers authored by Mairi Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Mairi Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mairi Shepherd

This figure shows the co-authorship network connecting the top 25 collaborators of Mairi Shepherd. A scholar is included among the top collaborators of Mairi Shepherd 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 Mairi Shepherd. Mairi Shepherd 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
1.
Belmonte, Miriam, Nina Friesgaard Øbro, Juan Li, et al.. (2024). Increased CXCL10 (IP-10) is associated with advanced myeloproliferative neoplasms and its loss dampens erythrocytosis in mouse models. Experimental Hematology. 135. 104246–104246. 1 indexed citations
2.
Oedekoven, Caroline A., Miriam Belmonte, Fiona Hamey, et al.. (2021). Hematopoietic stem cells retain functional potential and molecular identity in hibernation cultures. Stem Cell Reports. 16(6). 1614–1628. 11 indexed citations
3.
Kuciński, Iwo, Alyssa Cull, Melania Barile, et al.. (2021). 3008 – A HIGHLY EFFICIENT REPORTER SYSTEM FOR IDENTIFYING AND CHARACTERIZING IN VITRO EXPANDED HEMATOPOIETIC STEM CELLS. Experimental Hematology. 100. S47–S47. 2 indexed citations
4.
Øbro, Nina Friesgaard, Jacob Grinfeld, Miriam Belmonte, et al.. (2020). Longitudinal Cytokine Profiling Identifies GRO‐α and EGF as Potential Biomarkers of Disease Progression in Essential Thrombocythemia. HemaSphere. 4(3). e371–e371. 39 indexed citations
5.
Shepherd, Mairi & David G. Kent. (2019). Emerging single-cell tools are primed to reveal functional and molecular heterogeneity in malignant hematopoietic stem cells. Current Opinion in Hematology. 26(4). 214–221. 6 indexed citations
6.
Lee-Six, Henry, Nina Friesgaard Øbro, Mairi Shepherd, et al.. (2018). Population dynamics of normal human blood inferred from somatic mutations. Nature. 561(7724). 473–478. 374 indexed citations breakdown →
7.
Dahlin, Joakim S., Fiona Hamey, Blanca Pijuan-Sala, et al.. (2018). A single-cell hematopoietic landscape resolves 8 lineage trajectories and defects in Kit mutant mice. Blood. 131(21). e1–e11. 137 indexed citations
8.
Shepherd, Mairi, Juan Li, Nicola K. Wilson, et al.. (2018). Single-cell approaches identify the molecular network driving malignant hematopoietic stem cell self-renewal. Blood. 132(8). 791–803. 22 indexed citations
9.
Nestorowa, Sonia, Fiona Hamey, Blanca Pijuan-Sala, et al.. (2016). A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation. Blood. 128(8). e20–e31. 473 indexed citations breakdown →

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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