Michael M. Lipp

1.7k citations
22 papers · 1.4k · h-index 15

Impact in

Papers in

Michael M. Lipp

22 papers receiving 1.4k citations

Peers

Michael M. Lipp
Comparison fields: 5 of 108
  • Pulmonary and Respiratory Medicine 553
  • Endocrine and Autonomic Systems 113
  • Molecular Biology 641
  • Atomic and Molecular Physics, and Optics 268
  • Pharmaceutical Science 50
Replace Manfred Sieber with:
Manfred Sieber Germany
Svetla G. Taneva Canada
Svetlana Baoukina Canada
Dawn Y. Takamoto United States
A. von Nahmen Germany
Junqi Ding United States
Peter G. Petrov United Kingdom
Izumi Yamamoto Japan
Hideki Matsuda Japan
F. G. Díaz United States
Michael M. Lipp relative to Manfred Sieber Germany Manfred Sieber's profile →
Citations per field
00.5×3.3×
Manfred Sieber · 1×
Citations per year

Countries citing papers authored by Michael M. Lipp

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Lipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael M. Lipp, 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 Michael M. Lipp Line = papers co-authored together Michael M. Lipp 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 1998200
2 2001186
3 2001155
4 1996140
5 200191
6 199789
7 201185
8 200079
9 200167
10 201661
11 200054
12 199851
13 199742
14 201238
15 199727
16 202113
17 202012
18 19985
19 19993
20 20112

About Michael M. Lipp

Michael M. Lipp is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics, Organic Chemistry and Biomedical Engineering, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (9 papers), Surfactants and Colloidal Systems (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Inhalation and Respiratory Drug Delivery (4 papers), Neonatal Respiratory Health Research (4 papers), Force Microscopy Techniques and Applications (2 papers), Genomics and Chromatin Dynamics (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (553 citations), Endocrine and Autonomic Systems (113 citations), Molecular Biology (641 citations), Atomic and Molecular Physics, and Optics (268 citations) and Pharmaceutical Science (50 citations). Michael M. Lipp has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Joseph A. Zasadzinski, Alan J. Waring, Dawn Y. Takamoto, Ka Yee C. Lee, A. von Nahmen, Róbert Langer, Daniel S. Kohane, Ramsey C. Kinney, Noah Lotan and Junqi Ding. Their work appears in journals such as Biophysical Journal, Molecular Cell, Review of Scientific Instruments, Science and Pharmaceutical Research.

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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