L. Neipp

29 papers receiving 548 citations

Peers

L. Neipp
Comparison fields: 5 of 89
  • Microbiology 27
  • Pharmacology 298
  • Organic Chemistry 317
  • Toxicology 35
  • Biotechnology 69
Replace R. Corbaz with:
R. Corbaz Switzerland
Norio Ezaki United Kingdom
Tomoharu Okuda United States
Hiroo Kusakabe Japan
Peter W. K. Woo United States
Hiroshi Tsukiura United Kingdom
Henry W. Dion United States
Hirofuto Marumo Japan
A. S. Khokhlov Russia
A Dietz United States
L. Neipp relative to R. Corbaz Switzerland R. Corbaz's profile →
Citations per field
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R. Corbaz · 1×
Citations per year

Countries citing papers authored by L. Neipp

Since Specialization
Citations

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

Fields of papers citing papers by L. Neipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195585
2 195784
3 196072
4 195962
5 195759
6 195955
7 195551
8 195636
9 195827
10 195825
11
[METABOLITES OF MICROORGANISMS. 41. MANUMYCIN].
196325
12 195524
13
Ferrimycin A, a new iron-containing antibiotic.
196216
14 196710
15 19579
16 19579
17 19549
18 19578
19
Experimental studies on amebicidal, antibacterial, and antiparasitic phenanthroline compounds.
19587
20
New derivatives of rifamycin antibiotics.
19667

About L. Neipp

L. Neipp is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Ecology and Epidemiology, having authored 36 papers that have together received 709 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (13 papers), Synthetic Organic Chemistry Methods (9 papers), Bacteriophages and microbial interactions (6 papers), Chemical Synthesis and Analysis (5 papers), Synthesis of β-Lactam Compounds (4 papers), Antibiotic Resistance in Bacteria (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Microbiology (27 citations), Pharmacology (298 citations), Organic Chemistry (317 citations), Toxicology (35 citations) and Biotechnology (69 citations). L. Neipp has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include E. Gäumann, Hans Zähner, W. Keller‐Schierlein, L. Ettlinger, F. Kradolfer, V. Prelog, R. Corbaz, P Reusser, R. Hütter and V. Prelog. Their work appears in journals such as Helvetica Chimica Acta, Cellular and Molecular Life Sciences, Annals of the New York Academy of Sciences, Antibiotics and chemotherapy/Antibiotica et chemotherapia and Monatshefte für Chemie - Chemical Monthly.

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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