N. Katz

46 papers receiving 1.4k citations

N. Katz's Hit Papers

Functional specialization of different hepatocyte populations 1989 · 564 citations
5640+12+24Years since publication100200300400500

Peers

N. Katz
Comparison fields: 5 of 119
  • Hepatology 193
  • Clinical Biochemistry 116
  • Nutrition and Dietetics 240
  • Pharmacology 120
  • Physiology 300
Replace R. Dargel with:
R. Dargel Germany
J.W.O. van den Berg Netherlands
E. Schmidt Germany
Ludwig Amigo Chile
Tadashi Ikegami Japan
Rajender K. Chawla United States
Thomas Q. de Aguiar Vallim United States
Μartine Aggerbeck France
Masayuki Adachi Japan
B Lombardi United States
N. Katz relative to R. Dargel Germany R. Dargel's profile →
Citations per field
00.5×4.5×
R. Dargel · 1×
Citations per year

Countries citing papers authored by N. Katz

Since Specialization
Citations

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

Fields of papers citing papers by N. Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Functional specialization of different hepatocyte populations
Hit paper breakdown →
1989564
2 2006161
3 198282
4 197863
5 200663
6 200351
7 200250
8 198436
9 198832
10 198832
11
Amino acid and protein intake in RDT patients. A nutritional and biochemical analysis.
197527
12 200523
13 200522
14 198721
15 200320
16 200620
17 198419
18 197419
19 200418
20 200118

About N. Katz

N. Katz is a scholar working on Molecular Biology, Clinical Biochemistry, Epidemiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Pancreatic function and diabetes (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Mitochondrial Function and Pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Diet and metabolism studies (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Hepatology (193 citations), Clinical Biochemistry (116 citations), Nutrition and Dietetics (240 citations), Pharmacology (120 citations) and Physiology (300 citations). N. Katz has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Kurt Jungermann, G. Fischer, Karl Walter Bock, D. Ullrich, A. Schauer, Corinna Koebnick, R. Kluthe, Ada L. García, E. Eigenbrodt and Martin O. Weickert. Their work appears in journals such as European Journal of Clinical Nutrition, Biochemical Journal, American Journal of Clinical Nutrition, Die Naturwissenschaften and Biochemical and Biophysical Research Communications.

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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