John E. Mole

4.2k citations
63 papers · 3.6k indexed · 2 hit papers · h-index 26

John E. Mole

62 papers receiving 3.4k citations

Hit Papers

The transforming growth factor-β system, a complex patter...6191986202619992012200400600

Peers

John E. Mole
Comparison fields: 5 of 121
  • Immunology and Allergy 237
  • Cell Biology 637
  • Molecular Biology 2.1k
  • Endocrinology, Diabetes and Metabolism 441
  • Immunology 507
Replace Chin C. Howe with:
Chin C. Howe United States
Gilles Courtois France
H. Gregory United Kingdom
Bent Honoré Denmark
Bernard Sordat Switzerland
Robert J. Mattaliano United States
Philippe Naquet France
Martijn F.B.G. Gebbink Netherlands
D J McKean United States
Jochen Heß Germany
John E. Mole relative to Chin C. Howe United States Chin C. Howe's profile →
Citations per field
00.5×2.5×
Chin C. Howe · 1×
Citations per year

Countries citing papers authored by John E. Mole

Since Specialization
Citations

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

Fields of papers citing papers by John E. Mole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19957
2 19932
3 199210
4 19922
5 199016
6 198824
7 198712
8 198769
9 198710
10 19871
11 198699
12 198525
13 198577
14 1985425
15 198037
16 19775
17 19765
18
Evidence for the absence of noncovalent bonds in the Fcmu region of IgM.
197511
19 197310
20 197379

About John E. Mole

John E. Mole is a scholar working on Clinical Biochemistry, Biochemistry, Pharmacology, Immunology and Aging, having authored 63 papers that have together received 3.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Metabolism and Genetic Disorders (6 papers), RNA and protein synthesis mechanisms (6 papers), Chemical Synthesis and Analysis (6 papers), Glycosylation and Glycoproteins Research (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Amino Acid Enzymes and Metabolism (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Immunology and Allergy (237 citations), Cell Biology (637 citations), Molecular Biology (2.1k citations), Endocrinology, Diabetes and Metabolism (441 citations) and Immunology (507 citations). John E. Mole has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include J K Anderson, Ajit S. Bhown, John Bennett, Floyd E. Dewhirst, Philip P. Stashenko, T. Tsurumachi, Joan Massagué, Roger Lucas, Sela Cheifetz and James A. Weatherbee. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Analytical Biochemistry, The Journal of Immunology and Archives of Biochemistry and Biophysics.

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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