N. Katz

46 papers receiving 1.3k citations

N. Katz's Hit Papers

Functional specialization of different hepatocyte populations 1989 · 524 citations
5240+12+24Years since publication100200300400500

Peers

N. Katz
Comparison fields: 5 of 115
  • Hepatology 175
  • Clinical Biochemistry 106
  • Nutrition and Dietetics 216
  • Pharmacology 107
  • Physiology 295
Replace W. Stanley Hartroft with:
W. Stanley Hartroft Canada
Rajender K. Chawla United States
E. Schmidt Germany
Jamshid Karimi Iran
Dick Knook Netherlands
Theresa Chen United States
B Lombardi United States
Na Jiang China
Noritoshi Takeichi Japan
Aili Cao China
N. Katz relative to W. Stanley Hartroft Canada W. Stanley Hartroft's profile →
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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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Functional specialization of different hepatocyte populations
Hit paper breakdown →
1989524
2 2006144
3 198273
4 200655
5 200350
6 200249
7 197846
8 198431
9 198831
10 198830
11 200522
12 200521
13 200620
14
Amino acid and protein intake in RDT patients. A nutritional and biochemical analysis.
197520
15 200118
16 198418
17 200317
18 200416
19 198816
20 197416

About N. Katz

N. Katz is a scholar working on Molecular Biology, Clinical Biochemistry, Nutrition and Dietetics, Surgery and Epidemiology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Diet and metabolism studies (5 papers), Pancreatic function and diabetes (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Iron Metabolism and Disorders (3 papers), Mitochondrial Function and Pathology (3 papers), Nutritional Studies and Diet (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (175 citations), Clinical Biochemistry (106 citations), Nutrition and Dietetics (216 citations), Pharmacology (107 citations) and Physiology (295 citations). N. Katz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Kurt Jungermann, G. Fischer, D. Ullrich, Karl Walter Bock, Corinna Koebnick, A. Schauer, Ada L. García, R. Kluthe, Martin O. Weickert and Matthias Möhlig. Their work appears in journals such as European Journal of Clinical Nutrition, American Journal of Clinical Nutrition, Journal of Biological Chemistry, Die Naturwissenschaften and Clinical Chemistry and Laboratory Medicine (CCLM).

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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