John Erbe

1.2k citations
22 papers · 1.1k · h-index 17

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 5
    • Biochemical and Molecular Research 4
    • Cancer therapeutics and mechanisms 2
    • Drug Transport and Resistance Mechanisms 10

John Erbe

22 papers receiving 948 citations

Peers

John Erbe
Comparison fields: 5 of 91
  • Physiology 244
  • Biochemistry 104
  • Molecular Biology 792
  • Clinical Biochemistry 70
  • Oncology 205
Replace A. Čihák with:
A. Čihák Czechia
Jean C. Ingram United Kingdom
John P. Durham United States
Standish C. Hartman United States
David P. Richey United States
Jon C. Graff United States
Yoshinori Tanigawa Japan
Ryuzo Sakakibara Japan
Wayne E. Criss United States
Mariano Tao United States
John Erbe relative to A. Čihák Czechia A. Čihák's profile →
Citations per field
00.5×1.5×2.4×
A. Čihák · 1×
Citations per year

Countries citing papers authored by John Erbe

Since Specialization
Citations

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

Fields of papers citing papers by John Erbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside John Erbe, 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 Erbe Line = papers co-authored together John Erbe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971168
2 1969132
3 1972102
4 197198
5 197670
6 197462
7
Transport and metabolism of glucosamine by cultured Novikoff rat hepatoma cells and effects on nucleotide pools.
197348
8 198247
9 197547
10 197443
11 197442
12 197340
13 197532
14 197731
15 198129
16 197625
17 196821
18 198116
19 197515
20 197713

About John Erbe

John Erbe is a scholar working on Molecular Biology, Oncology, Physiology, Biochemistry and Surgery, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Adenosine and Purinergic Signaling (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Pancreatic function and diabetes (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Biochemical and Molecular Research (4 papers), Cancer therapeutics and mechanisms (2 papers) and Chemical Reactions and Isotopes (2 papers). The work is most often cited by research in Physiology (244 citations), Biochemistry (104 citations), Molecular Biology (792 citations), Clinical Biochemistry (70 citations) and Oncology (205 citations). John Erbe has collaborated with scholars based in United States and Czechia. Frequent co-authors include Peter G.W. Plagemann, Richard März, Robert M. Wohlhueter, David P. Richey, Richard D. Estensen, Jon C. Graff and J. R. Sheppard. Their work appears in journals such as Journal of Cellular Physiology, Journal of Biological Chemistry, The Journal of Cell Biology, The Journal of Membrane Biology and Biochemistry.

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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