Ben Greenebaum

1.9k citations
66 papers · 1.4k · h-index 20

Impact in

  • Biophysics top 0.2%
    • Electromagnetic Fields and Biological Effects
  • Physiology top 0.5%
    • Magnetic and Electromagnetic Effects
    • Spaceflight effects on biology
    • Biofield Effects and Biophysics

Papers in

Ben Greenebaum

57 papers receiving 1.3k citations

Peers

Ben Greenebaum
Comparison fields: 5 of 123
  • Biophysics 823
  • Physiology 417
  • Physiology 462
  • Biotechnology 120
  • Aging 19
Replace Robert P. Liburdy with:
Robert P. Liburdy United States
S. G. Benane United States
Larry E. Anderson United States
Stephen F. Cleary United States
Vladimir N. Binhi Russia
Igor Belyaev Russia
Charles N. Rafferty United States
Michal Cifra Czechia
H. Lai United States
Joe A. Elder United States
Ben Greenebaum relative to Robert P. Liburdy United States Robert P. Liburdy's profile →
Citations per field
00.5×3.1×
Robert P. Liburdy · 1×
Citations per year

Countries citing papers authored by Ben Greenebaum

Since Specialization
Citations

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

Fields of papers citing papers by Ben Greenebaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999287
2 1995254
3 2014104
4 200465
5 198847
6 199346
7 199840
8 199437
9 199634
10 197534
11 198633
12 202131
13 201827
14 197627
15 197921
16 198620
17 199820
18 196820
19 199119
20
Magnetic field effects on mitotic cycle length in Physarum.
198219

About Ben Greenebaum

Ben Greenebaum is a scholar working on Biophysics, Biomedical Engineering, Physiology, Physiology and Plant Science, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (26 papers), Magnetic and Electromagnetic Effects (13 papers), Biofield Effects and Biophysics (12 papers), Plant and Biological Electrophysiology Studies (10 papers), Slime Mold and Myxomycetes Research (8 papers), Biocrusts and Microbial Ecology (5 papers), Spaceflight effects on biology (5 papers) and Microbial Inactivation Methods (4 papers). The work is most often cited by research in Biophysics (823 citations), Physiology (417 citations), Physiology (462 citations), Biotechnology (120 citations) and Aging (19 citations). Ben Greenebaum has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include E. M. Goodman, Michael T. Marron, Michael H. Repacholi, Frank S. Barnes, Paul T. Sharpe, Robbyn L. Tuinstra, Raphael C. Lee, Michael A. Beckett, Jürgen Hannig and Ralph R. Weichselbaum. Their work appears in journals such as Bioelectromagnetics, Radiation Research, FEBS Letters, Nuclear Physics A and Review of Scientific Instruments.

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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