E. B. Chain

8.9k citations
106 papers · 2.7k indexed · h-index 29

Impact in

    • Plant and Fungal Interactions Research
    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications

Papers in

E. B. Chain

104 papers receiving 2.3k citations

Peers

E. B. Chain
Comparison fields: 5 of 136
  • Endocrinology 247
  • Pharmacology 585
  • Molecular Medicine 142
  • Molecular Biology 1.0k
  • Clinical Biochemistry 102
Replace Estelle J. McGroarty with:
Estelle J. McGroarty United States
Krishnaswamy Balamurugan India
Yoshiyuki Kawakami Japan
Glenn E. Dale Switzerland
R. Meganathan United States
Tohru Komano Japan
S. Mahadevan India
Darrell E. Anderson United States
Peter J. Lewis Australia
Ricardo N. Farı́as Argentina
E. B. Chain relative to Estelle J. McGroarty United States Estelle J. McGroarty's profile →
Citations per field
00.5×
Estelle J. McGroarty · 1×
Citations per year

Countries citing papers authored by E. B. Chain

Since Specialization
Citations

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

Fields of papers citing papers by E. B. Chain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. B. Chain. 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 E. B. Chain. The network helps show where E. B. Chain may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971214
2 1964139
3 1974125
4 1972107
5 1960104
6 1968102
7 196097
8 197779
9 195569
10 196162
11 196160
12 195560
13 196960
14 196953
15
Further observations on penicillin. 1941.
199252
16 196850
17 197043
18 197743
19 197439
20 196939

About E. B. Chain

E. B. Chain is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Pharmacology and Ecology, Evolution, Behavior and Systematics, having authored 106 papers that have together received 2.7k indexed citations. Recurring topics across this work include Plant and fungal interactions (14 papers), Microbial Natural Products and Biosynthesis (10 papers), Plant Disease Resistance and Genetics (9 papers), Diet and metabolism studies (8 papers), Chemical synthesis and alkaloids (8 papers), Plant and Fungal Interactions Research (8 papers), Amino Acid Enzymes and Metabolism (8 papers) and Plant Virus Research Studies (7 papers). The work is most often cited by research in Endocrinology (247 citations), Pharmacology (585 citations), Molecular Medicine (142 citations), Molecular Biology (1.0k citations) and Clinical Biochemistry (102 citations). E. B. Chain has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include G. Mellows, David J. Hearse, G. N. Rolinson, F. R. Batchelor, F. Pocchiari, G. T. Banks, K. W. Buck, Alberto Tonolo, F. Himmelweit and K. D. Barrow. Their work appears in journals such as Nature, Biochemical Society Transactions, Journal of the Chemical Society Perkin Transactions 1, Perspectives in biology and medicine and Journal of General Virology.

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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