Jane M. Sayer

6.1k citations
171 papers · 5.1k indexed · h-index 42

Impact in

Papers in

Jane M. Sayer

170 papers receiving 4.8k citations

Peers

Jane M. Sayer
Comparison fields: 5 of 152
  • Virology 492
  • Cancer Research 1.0k
  • Toxicology 207
  • Organic Chemistry 1.3k
  • Biochemistry 264
Replace Donald M. Jerina with:
Donald M. Jerina United States
James B. McMahon United States
Jason K. Perry United States
Glaucius Oliva Brazil
Andrew D. Mesecar United States
Inder Pal Singh India
G. Madhavi Sastry India
Hung‐Yuan Cheng United Kingdom
Dmitry Filimonov Russia
Keith W. Ward United States
Jane M. Sayer relative to Donald M. Jerina United States Donald M. Jerina's profile →
Citations per field
00.5×1.5×
Donald M. Jerina · 1×
Citations per year

Countries citing papers authored by Jane M. Sayer

Since Specialization
Citations

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

Fields of papers citing papers by Jane M. Sayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane M. Sayer. 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 Jane M. Sayer. The network helps show where Jane M. Sayer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201211
2 201222
3 200922
4 200823
5
An analysis and evaluation of hedonic price valuations in local leasehold office markets
20073
6 20068
7 200515
8 20044
9 200417
10 200313
11 200315
12 200334
13 200318
14 200221
15 200012
16 200051
17 19991
18 199543
19 198946
20 198316

About Jane M. Sayer

Jane M. Sayer is a scholar working on Virology, Organic Chemistry, Toxicology, Applied Microbiology and Biotechnology and Pharmacology, having authored 171 papers that have together received 5.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (61 papers), DNA Repair Mechanisms (28 papers), HIV/AIDS drug development and treatment (25 papers), Chemical Reaction Mechanisms (23 papers), HIV Research and Treatment (21 papers), Carcinogens and Genotoxicity Assessment (15 papers), Analytical Chemistry and Chromatography (14 papers) and Cancer therapeutics and mechanisms (13 papers). The work is most often cited by research in Virology (492 citations), Cancer Research (1.0k citations), Toxicology (207 citations), Organic Chemistry (1.3k citations) and Biochemistry (264 citations). Jane M. Sayer has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Donald M. Jerina, Haruhiko Yagi, Allan H. Conney, Alexander W. Wood, William P. Jencks, D. M. JERINA, John M. Louis, Mou‐Tuan Huang, Heiko Kroth and Richard L. Chang. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences and Chemical Research in Toxicology.

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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