Jennifer A. Smith

1.9k total citations
28 papers, 1.4k citations indexed

About

Jennifer A. Smith is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jennifer A. Smith has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Oncology. Recurrent topics in Jennifer A. Smith's work include T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Immune Cell Function and Interaction (5 papers). Jennifer A. Smith is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Immune Cell Function and Interaction (5 papers). Jennifer A. Smith collaborates with scholars based in United States, United Kingdom and Belgium. Jennifer A. Smith's co-authors include Peter M. Howley, J. Wade Harper, Mathew E. Sowa, Matthias Ottinger, Shaila Rahman, Yang Shi, Stephanie E. Mohr, Caroline E. Shamu, Norbert Perrimon and Ralph A. Neumüller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Jennifer A. Smith

27 papers receiving 1.4k citations

Peers

Jennifer A. Smith
Comparison fields: 5 of 90
  • Molecular Biology 1.0k
  • Immunology 231
  • Epidemiology 202
  • Genetics 188
  • Oncology 150
Replace Po-Cheng Tang with:
Po-Cheng Tang Sweden
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Octavio Miguel Rivero-Lezcano Spain
Monica Yabal Germany
Marina Vaysburd United Kingdom
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Elangovan Boobalan United States
Dion Kaiserman Australia
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Po-Cheng Tang Sweden View profile →
Citations per field, relative to Jennifer A. Smith
Jennifer A. Smith · 1×
Citations per year, relative to Jennifer A. Smith
Jennifer A. Smith · 1×

Countries citing papers authored by Jennifer A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer A. Smith

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 39
4 2
5 5
6 9
7 9
8 25
9 44
10 247
11 32
12 32
13 18
14 5
15 4
16 25
17 6
18 23
19 8
20 25

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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