David M. Sipe

1.7k citations
14 papers · 1.4k · 1 hit paper · h-index 12

Impact in

Papers in

David M. Sipe

14 papers receiving 1.4k citations

David M. Sipe's Hit Papers

The FET3 gene of S. cerevisiae encodes a multicopper oxidase required for ferrous iron uptake 1994 · 570 citations
5700+10+21Years since publication100200300400500

Peers

David M. Sipe
Comparison fields: 5 of 116
  • Nutrition and Dietetics 393
  • Hematology 213
  • Cell Biology 184
  • Molecular Biology 590
  • Plant Science 306
Replace Kenta Iwasaki with:
Kenta Iwasaki Japan
Gerhard Rödel Germany
E.J. Levin Canada
Pauline T. Lieu United States
Krisztina Z. Bencze United States
D.C. Teller United States
Jérôme Dupuy France
Masami Kimura Japan
Archer D. Smith United States
Kourosh Honarmand Ebrahimi United Kingdom
David M. Sipe relative to Kenta Iwasaki Japan Kenta Iwasaki's profile →
Citations per field
00.5×5.0×
Kenta Iwasaki · 1×
Citations per year

Countries citing papers authored by David M. Sipe

Since Specialization
Citations

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

Fields of papers citing papers by David M. Sipe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
The FET3 gene of S. cerevisiae encodes a multicopper oxidase required for ferrous iron uptake
Hit paper breakdown →
1994570
2 1989191
3 1992156
4 1991105
5 200483
6 200871
7 199158
8 198752
9 200532
10 200425
11 200523
12 201817
13 20041
14 20001

About David M. Sipe

David M. Sipe is a scholar working on Molecular Biology, Cell Biology, Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Semiconductor materials and devices (2 papers), Lipid Membrane Structure and Behavior (2 papers), Mechanical and Optical Resonators (2 papers), Analytical Chemistry and Sensors (2 papers), thermodynamics and calorimetric analyses (1 paper), Plant Micronutrient Interactions and Effects (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Nutrition and Dietetics (393 citations), Hematology (213 citations), Cell Biology (184 citations), Molecular Biology (590 citations) and Plant Science (306 citations). David M. Sipe has collaborated with scholars based in United States. Frequent co-authors include Sandra R. Davis-Kaplan, Jerry Kaplan, David Eide, Robert F. Murphy, Candice C. Askwith, Liangtao Li, Philip S. Bernard, R.F. Murphy, Alan J. Rosenbloom and W. J. Choyke. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biomedical Microdevices, ACS Nano and Cell.

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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