Emma Smith

1.8k citations
34 papers · 1.3k · h-index 18

Impact in

Papers in

    • Developmental Biology and Gene Regulation 6
    • Protein Degradation and Inhibitors 4
    • Epigenetics and DNA Methylation 4
    • Histone Deacetylase Inhibitors Research 3
    • Multiple Myeloma Research and Treatments 6

Emma Smith

34 papers receiving 1.3k citations

Peers

Emma Smith
Comparison fields: 5 of 93
  • Developmental Neuroscience 256
  • Hematology 234
  • Neurology 126
  • Immunology 239
  • Biological Psychiatry 26
Replace Arianna Merlini with:
Arianna Merlini Italy
Tetsuya Taga Japan
Fabien Agenès France
Minnetta V. Gardinier United States
Ilaria Visigalli Italy
Wei‐Ming Duan China
Cesare Lancini Netherlands
Jeff Mann United States
Annalena Moliner Sweden
Marion Butler Ireland
Emma Smith relative to Arianna Merlini Italy Arianna Merlini's profile →
Citations per field
00.5×5.6×
Arianna Merlini · 1×
Citations per year

Countries citing papers authored by Emma Smith

Since Specialization
Citations

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

Fields of papers citing papers by Emma Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014338
2 2010196
3 200269
4 200554
5 200952
6 202248
7 200547
8 200245
9 200445
10 200944
11 200540
12 202339
13 201933
14 200833
15 200726
16 200226
17 202024
18 201319
19 202016
20 202115

About Emma Smith

Emma Smith is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Cell Biology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Developmental Biology and Gene Regulation (6 papers), Multiple Myeloma Research and Treatments (6 papers), Immune Cell Function and Interaction (5 papers), Protein Degradation and Inhibitors (4 papers), Epigenetics and DNA Methylation (4 papers), Histone Deacetylase Inhibitors Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Developmental Neuroscience (256 citations), Hematology (234 citations), Neurology (126 citations), Immunology (239 citations) and Biological Psychiatry (26 citations). Emma Smith has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Mikael Sigvardsson, Faith E. Davies, Jonas Frisén, Zaal Kokaia, Olle Lindvall, Jens P. Magnusson, David O. Dias, Jemal Tatarishvili, Christian Göritz and Kevin Boyd. Their work appears in journals such as Blood, Haematologica, PLoS ONE, The Journal of Immunology and iScience.

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