Melvin Eisner

32 papers receiving 1.3k citations

Peers

Melvin Eisner
Comparison fields: 5 of 88
  • Cell Biology 545
  • Neurology 184
  • Physical and Theoretical Chemistry 110
  • Spectroscopy 145
  • Biophysics 64
Replace Pier Raimondo Crippa with:
Pier Raimondo Crippa Italy
Ranieri Rolandi Italy
Chi‐Yuan Cheng United States
Danek Elbaum Poland
Alberto Moscatelli United States
A.E. Blaurock United States
Erika R. Bauminger Israel
Rakwoo Chang South Korea
Takeshi Baba Japan
Yoshinori Koga Japan
Melvin Eisner relative to Pier Raimondo Crippa Italy Pier Raimondo Crippa's profile →
Citations per field
00.5×2×3×4×4.8×
Pier Raimondo Crippa · 1×
Citations per year

Countries citing papers authored by Melvin Eisner

Since Specialization
Citations

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

Fields of papers citing papers by Melvin Eisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008212
2 1994169
3 1994130
4 1994129
5 198792
6 200283
7 200376
8 200373
9 196070
10 197068
11 199840
12 201236
13 196628
14 196127
15 196224
16 198921
17 196716
18 195914
19 196614
20 197112

About Melvin Eisner

Melvin Eisner is a scholar working on Cell Biology, Spectroscopy, Nuclear and High Energy Physics, Physical and Theoretical Chemistry and Atomic and Molecular Physics, and Optics, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include melanin and skin pigmentation (13 papers), Advanced NMR Techniques and Applications (7 papers), Photochemistry and Electron Transfer Studies (3 papers), NMR spectroscopy and applications (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Thermodynamic properties of mixtures (2 papers), Laser-Plasma Interactions and Diagnostics (2 papers) and Solid-state spectroscopy and crystallography (2 papers). The work is most often cited by research in Cell Biology (545 citations), Neurology (184 citations), Physical and Theoretical Chemistry (110 citations), Spectroscopy (145 citations) and Biophysics (64 citations). Melvin Eisner has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include S. C. Moss, James M. Gallas, Jin Quan Cheng, Gerry W. Zajac, George W. Kattawar, Pier Raimondo Crippa, Paul R. Zschack, Joseph T. Golab, Klaus B. Stark and Luigi Zecca. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B, Physical Review A, Physical Review Letters and Journal of Neural Transmission.

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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