H. Nieth

471 citations
53 papers · 379 · h-index 8

Impact in

  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Renal function and acid-base balance
    • Chronic Kidney Disease and Diabetes
    • Metabolism and Genetic Disorders

Papers in

    • Biomedical and Chemical Research 6
    • Muscle and Compartmental Disorders 4
    • Renal Diseases and Glomerulopathies 4
    • Renal function and acid-base balance 3

H. Nieth

48 papers receiving 314 citations

Peers

H. Nieth
Comparison fields: 5 of 76
  • Nephrology 89
  • Clinical Biochemistry 60
  • Biochemistry 24
  • Physiology 77
  • Pulmonary and Respiratory Medicine 77
Replace Robert J. Shalhoub with:
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H. Nieth relative to Robert J. Shalhoub United States Robert J. Shalhoub's profile →
Citations per field
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Robert J. Shalhoub · 1×
Citations per year

Countries citing papers authored by H. Nieth

Since Specialization
Citations

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

Fields of papers citing papers by H. Nieth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966141
2 196961
3 195825
4 196211
5 196711
6 196510
7 19648
8 19547
9 19587
10 19627
11 19597
12 19526
13
[Problems of renovascular hypertension. Report on a international symposium on April 21-22, 1967 in Titisee-Schwarzwald].
19676
14
[Differential diagnosis of the Bartter syndrome].
19685
15 19594
16 19644
17 19684
18 19663
19 19553
20 19653

About H. Nieth

H. Nieth is a scholar working on Surgery, Nephrology, Pulmonary and Respiratory Medicine, Physiology and Molecular Biology, having authored 53 papers that have together received 379 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (7 papers), Biomedical and Chemical Research (6 papers), Metabolism and Genetic Disorders (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Muscle and Compartmental Disorders (4 papers), Thermoregulation and physiological responses (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Renal function and acid-base balance (3 papers). The work is most often cited by research in Nephrology (89 citations), Clinical Biochemistry (60 citations), Biochemistry (24 citations), Physiology (77 citations) and Pulmonary and Respiratory Medicine (77 citations). H. Nieth has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include P. Schollmeyer, Eberhard Mammen, Rudolf Groß, W. Kaufmann, H. Böck, H. Fischbach, Jürgen Schnermann, W. Thoenes, H. Weidinger and Karl Langer. Their work appears in journals such as Journal of Molecular Medicine, Pflügers Archiv - European Journal of Physiology, Nature, Langenbeck s Archives of Surgery and Basic Research in Cardiology.

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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