Hannah Greenfeld

674 citations
6 papers · 479 indexed · 1 hit paper · h-index 6
    • Vibrio bacteria research studies 1
    • Congenital heart defects research 2
    • Pluripotent Stem Cells Research 1
    • Single-cell and spatial transcriptomics 1
    • Signaling Pathways in Disease 1
    • FOXO transcription factor regulation 1
    • Viral-associated cancers and disorders 1
    • Autophagy in Disease and Therapy 1

Hannah Greenfeld

6 papers receiving 475 citations

Hit Papers

Embryo model completes gastrulation to neurulation and or...158202220262023202450100150

Peers

Hannah Greenfeld
Comparison fields: 5 of 73
  • Endocrinology 63
  • Immunology 135
  • Cancer Research 81
  • Molecular Biology 283
  • Oncology 84
Replace Laura Medina‐Ruiz with:
Laura Medina‐Ruiz United Kingdom
Leslie E. Sanderson New Zealand
Theodoulakis Christofi Cyprus
Nobuhiro Ueno Japan
Fabian Imdahl Germany
Rebecca J. Mason United States
Wenbiao Zheng China
Saray Ramos Switzerland
Miki Hiroi Japan
Kenneth P. Holbourn United Kingdom
Hannah Greenfeld relative to Laura Medina‐Ruiz United Kingdom Laura Medina‐Ruiz's profile →
Citations per field
00.5×
Laura Medina‐Ruiz · 1×
Citations per year

Countries citing papers authored by Hannah Greenfeld

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Greenfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hannah Greenfeld, 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 Hannah Greenfeld Line = papers co-authored together Hannah Greenfeld links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Embryo model completes gastrulation to neurulation and organogenesisbreakdown →
2022158
2 202136
3 201564
4 2014125
5 201371
6 201325

About Hannah Greenfeld

Hannah Greenfeld is a scholar working on Endocrinology, Cancer Research and Molecular Biology, having authored 6 papers that have together received 479 indexed citations. Recurring topics across this work include Congenital heart defects research (2 papers), Autophagy in Disease and Therapy (1 paper), Pluripotent Stem Cells Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Viral-associated cancers and disorders (1 paper), Signaling Pathways in Disease (1 paper), Vibrio bacteria research studies (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Endocrinology (63 citations), Immunology (135 citations) and Cancer Research (81 citations). Hannah Greenfeld has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Benjamin E. Gewurz, Kaoru Takasaki, Elliott Kieff, Ina Ersing, Hufeng Zhou, Mary C. Mullins, Jerome Lin, Chengxiang Qiu, David M. Glover and Charlotte E. Handford. Their work appears in journals such as Cell Reports, Nature, PLoS Pathogens, PLoS Biology and American Journal of Physiology-Endocrinology and Metabolism.

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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