Evan W. Newell

27.0k citations
149 papers · 11.2k indexed · 1 hit paper · h-index 52
Topics
Immune Cell Function and Interaction (50 papers)T-cell and B-cell Immunology (49 papers)Immunotherapy and Immune Responses (38 papers)

In The Last Decade

Evan W. Newell

140 papers receiving 11.1k citations

Hit Papers

Dimensionality reduction for visualizing single-cell data...2018202620202023201850010001.5k2.0k2.5k

Peers

Evan W. Newell
Comparison fields: 5 of 192
  • Immunology 5.5k
  • Molecular Biology 4.5k
  • Oncology 2.2k
  • Epidemiology 1.2k
  • Cancer Research 708
Replace Soumya Raychaudhuri with:
Soumya Raychaudhuri United States
Jinmiao Chen Singapore
Charles‐Antoine Dutertre Singapore
Nir Yosef United States
Michiyuki Matsuda Japan
Étienne Becht France
Avi Ma’ayan United States
Thomas Graf Germany
Stephen McQuaid United Kingdom
Peter Smibert United States
Evan W. Newell relative to Soumya Raychaudhuri United States Soumya Raychaudhuri's profile →
Citations per field
00.5×1.6×
Soumya Raychaudhuri · 1×
Citations per year

Countries citing papers authored by Evan W. Newell

Since Specialization
Citations

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

Fields of papers citing papers by Evan W. Newell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan W. Newell. 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 Evan W. Newell. The network helps show where Evan W. Newell may publish in the future.

Co-authorship network of co-authors of Evan W. Newell

This figure shows the co-authorship network connecting the top 25 collaborators of Evan W. Newell. A scholar is included among the top collaborators of Evan W. Newell 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 Evan W. Newell. Evan W. Newell 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
#WorkIndexed citations
1 2
2 0
3 0
4 11
5 11
6 17
7 26
8 61
9 40
10 108
11 8
12 17
13 17
14 77
15 9
16 55
17 84
18 212
19 382
20 250

About Evan W. Newell

Evan W. Newell is a scholar working on Immunology, Biophysics and Oncology, having authored 149 papers that have together received 11.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (50 papers), T-cell and B-cell Immunology (49 papers) and Immunotherapy and Immune Responses (38 papers). The work is most often cited by research in Immunology (5.5k citations), Biophysics (697 citations) and Oncology (2.2k citations). Evan W. Newell has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Florent Ginhoux, Étienne Becht, Charles‐Antoine Dutertre, Mark M. Davis, Lai Guan Ng, John Healy, Leland McInnes, Immanuel Kwok, Lyanne C. Schlichter and Jinmiao Chen. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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