Teri Johnson

5.0k citations
11 papers · 3.9k · 1 hit paper · h-index 9

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 1%
    • Mesenchymal stem cell research

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Renal and related cancers 2
    • Protist diversity and phylogeny 1

Teri Johnson

11 papers receiving 3.8k citations

Hit Papers

Identification of the haematopoietic stem cell niche and control of the niche size 2003 · 2.3k citations
2.3k0+7+15Years since publication50010001.5k2.0k

Peers

Teri Johnson
Comparison fields: 5 of 120
  • Hematology 1.5k
  • Genetics 926
  • Immunology 816
  • Oncology 859
  • Molecular Biology 1.8k
Replace Jason Ross with:
Jason Ross United States
Melissa C. Knight United States
Susan K. Nilsson Australia
Masako Ohmura Japan
Feng‐Chun Yang United States
Kateri Moore United States
Jeff Haug United States
Laurie A. Milner United States
Isabella Saggio Italy
Yohei Morita Japan
Teri Johnson relative to Jason Ross United States Jason Ross's profile →
Citations per field
00.5×1.5×
Jason Ross · 1×
Citations per year

Countries citing papers authored by Teri Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Teri Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Teri Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teri Johnson Line = papers co-authored together Teri Johnson links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Identification of the haematopoietic stem cell niche and control of the niche size
Hit paper breakdown →
20032251
2 2008422
3 2007355
4 2007263
5 2006141
6 2008129
7 2006120
8 2005118
9 201074
10 20098
11 19922

About Teri Johnson

Teri Johnson is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Hematology, having authored 11 papers that have together received 3.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Renal and related cancers (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Genetic Syndromes and Imprinting (1 paper), Cancer-related Molecular Pathways (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Hematology (1.5k citations), Genetics (926 citations), Immunology (816 citations), Oncology (859 citations) and Molecular Biology (1.8k citations). Teri Johnson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Linheng Li, Leanne M. Wiedemann, Yuji Mishina, Jian Q. Feng, Jiwang Zhang, Chao Niu, Xi He, Ling Ye, Stephen E. Harris and Jeff Haug. Their work appears in journals such as Nature, Genes & Development, Nature Genetics, Nature Medicine and Stem Cells.

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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