Jeffrey S. Smith

4.8k citations
74 papers · 3.3k indexed · 1 hit paper · h-index 30
Topics
Receptor Mechanisms and Signaling (15 papers)Virus-based gene therapy research (11 papers)RNA Interference and Gene Delivery (7 papers)
Partner nations
United StatesJapanRussia

In The Last Decade

Jeffrey S. Smith

71 papers receiving 3.3k citations

Hit Papers

Biased signalling: from simple switches to allosteric mic...20182026202020232018100200300400500

Peers

Jeffrey S. Smith
Comparison fields: 5 of 145
  • Molecular Biology 1.8k
  • Cellular and Molecular Neuroscience 909
  • Genetics 565
  • Oncology 425
  • Immunology 296
Replace Yishai Levin with:
Yishai Levin Israel
Leonard B. Collins United States
Guo Jun Liu China
Zijun Wang China
Yanfang Li China
Yan Cao China
Yuzuru Kato Japan
Mary E. Brown United States
Jian Zhang China
Victor Vitvitsky United States
Jeffrey S. Smith relative to Yishai Levin Israel Yishai Levin's profile →
Citations per field
00.5×6.7×
Yishai Levin · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey S. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Smith. A scholar is included among the top collaborators of Jeffrey S. 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 Jeffrey S. Smith. Jeffrey S. 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
#WorkIndexed citations
1 0
2 10
3 2
4 0
5 1
6 3
7 13
8 73
9 14
10 153
11 16
12
Biased signalling: from simple switches to allosteric microprocessorsbreakdown →
514
13 53
14 43
15 121
16 93
17 15
18 107
19 37
20 26

About Jeffrey S. Smith

Jeffrey S. Smith is a scholar working on Chemical Health and Safety, Dermatology and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 3.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Virus-based gene therapy research (11 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (909 citations), Behavioral Neuroscience (164 citations) and Molecular Biology (1.8k citations). Jeffrey S. Smith has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Sudarshan Rajagopal, Robert J. Lefkowitz, Andrew P. Byrnes, Jie Tian, Julia Laskin, Alexander Laskin, Zhili Xu, Charles Chavkin, Kalliat T. Valsaraj and Julia C. Lemos. Their work appears in journals such as Nature, Science 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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