H. Rieder

1.5k total citations
68 papers, 1.3k citations indexed

About

H. Rieder is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, H. Rieder has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Physiology and 8 papers in Clinical Biochemistry. Recurrent topics in H. Rieder's work include Metabolism and Genetic Disorders (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Liver physiology and pathology (4 papers). H. Rieder is often cited by papers focused on Metabolism and Genetic Disorders (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Liver physiology and pathology (4 papers). H. Rieder collaborates with scholars based in Germany, Switzerland and United States. H. Rieder's co-authors include Giuliano Ramadori, K. H. Meyer zum Büschenfelde, H. F. Teutsch, H. P. Dienes, S. Schwögler, Th. Veit, Thomas Knittel, D. Sasse, K-H Meyer zum Büschenfelde and K.‐H. Meyer zum Büschenfelde and has published in prestigious journals such as Science, Gastroenterology and Journal of Hepatology.

In The Last Decade

H. Rieder

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H. Rieder Germany 19 445 390 318 213 174 68 1.3k
Thuy‐Anh Tran‐Thi Germany 20 381 0.9× 583 1.5× 280 0.9× 258 1.2× 261 1.5× 32 1.5k
Dominique Bernuau France 25 468 1.1× 591 1.5× 395 1.2× 298 1.4× 78 0.4× 62 1.5k
Tadasu Tsujii Japan 20 397 0.9× 541 1.4× 472 1.5× 233 1.1× 69 0.4× 73 1.6k
Yasutake Yamamoto Japan 22 322 0.7× 346 0.9× 293 0.9× 247 1.2× 142 0.8× 59 1.3k
Toshihiro Higashi Japan 26 466 1.0× 670 1.7× 423 1.3× 225 1.1× 218 1.3× 88 1.8k
Hiroto Hara Japan 19 269 0.6× 661 1.7× 128 0.4× 336 1.6× 78 0.4× 43 1.6k
S.S. Barham United States 14 238 0.5× 612 1.6× 197 0.6× 280 1.3× 59 0.3× 24 1.4k
C.E. Hulstaert Netherlands 17 117 0.3× 350 0.9× 106 0.3× 266 1.2× 132 0.8× 38 1.2k
N R Chowdhury United States 22 332 0.7× 1.1k 2.9× 177 0.6× 523 2.5× 143 0.8× 38 2.1k
Nicola Tavoloni United States 23 547 1.2× 474 1.2× 331 1.0× 688 3.2× 71 0.4× 59 1.8k

Countries citing papers authored by H. Rieder

Since Specialization
Citations

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

Fields of papers citing papers by H. Rieder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Rieder

This figure shows the co-authorship network connecting the top 25 collaborators of H. Rieder. A scholar is included among the top collaborators of H. Rieder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H. Rieder. H. Rieder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jung, Matthias, H. Rieder, Marco Reisert, et al.. (2024). Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach. Journal of Cachexia Sarcopenia and Muscle. 15(5). 1750–1760. 1 indexed citations
2.
Jung, Matthias, Vineet K. Raghu, Marco Reisert, et al.. (2024). Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western population. EBioMedicine. 110. 105467–105467. 10 indexed citations
3.
Mayet, W.-J., E Hermann, H. Rieder, et al.. (1992). Antibodies to Cathepsin G in Crohn's disease. European Journal of Clinical Investigation. 22(6). 427–433. 19 indexed citations
4.
Rieder, H., K-H Meyer zum Büschenfelde, & Giuliano Ramadori. (1992). Functional spectrum of sinusoidal endothelial liver cells. Journal of Hepatology. 15(1-2). 237–250. 56 indexed citations
5.
Ramadori, Giuliano, Michael Manns, H. Rieder, et al.. (1991). Serum hyaluronate and type III procollagen aminoterminal propeptide concentration in chronic liver disease. Relationship to cirrhosis and disease activity. European Journal of Clinical Investigation. 21(3). 323–330. 54 indexed citations
6.
Ramadori, Giuliano, S. Schwögler, Th. Veit, et al.. (1991). Tenascin gene expression in rat liver and in rat liver cells In vivo and in vitro studies. Virchows Archiv B Cell Pathology Including Molecular Pathology. 60(1). 145–153. 51 indexed citations
7.
Ramadori, Giuliano, H. Rieder, Jean D. Sipe, T Shirahama, & K. H. Meyer zum Büschenfelde. (1989). Murine tissue macrophages synthesize and secrete amyloid proteins different to amyloid A (AA). European Journal of Clinical Investigation. 19(3). 316–322. 12 indexed citations
8.
Ramadori, G, et al.. (1988). Regulation of hepatic protein-synthesis by tumor necrosis factor and interleukin-6 - comparison with interleukin-1. Zeitschrift für Gastroenterologie. 26(1). 61–62.
9.
Rieder, H., Giuliano Ramadori, & K. H. Meyer zum Büschenfelde. (1988). Guinea pig Kupffer cells can be activated in vitro to an enhanced superoxide response. Journal of Hepatology. 7(3). 345–351. 4 indexed citations
10.
Ramadori, Giuliano, et al.. (1988). Alpha‐ and gamma‐interferon (IFNα, IFNγ) but not interleukin‐1 (IL‐1) modulate synthesis and secretion of β2‐microglobulin by hepatocytes. European Journal of Clinical Investigation. 18(4). 343–351. 35 indexed citations
11.
Ramadori, Giuliano, H. P. Dienes, Reinhard Bürger, et al.. (1986). Expression of Ia-antigens on guinea pig Kupffer cells. Journal of Hepatology. 2(2). 207–217. 18 indexed citations
12.
Rieder, H., et al.. (1983). Trace Elements in Whole Blood of Multiple Sclerosis. European Neurology. 22(2). 85–92. 18 indexed citations
13.
Rieder, H., H. F. Teutsch, & D. Sasse. (1978). NADP-dependent dehydrogenases in rat liver parenchyma. Histochemistry and Cell Biology. 56(3-4). 283–298. 94 indexed citations
14.
Rieder, H., et al.. (1977). The activity of γ-glutamyl transferase in the serum of multiple sclerosis and other neurological diseases. Clinica Chimica Acta. 79(1). 211–217. 3 indexed citations
15.
Rieder, H., et al.. (1970). Sex differences in the serum lipoprotein relations of normal persons and multiple sclerosis patients. Clinica Chimica Acta. 30(2). 305–310. 3 indexed citations
16.
Rieder, H.. (1964). Mikro-Einwei�bestimmung mit Hilfe der Lowryschen Cu-Folin-Methode. Journal of Molecular Medicine. 42(16). 803–806. 3 indexed citations
17.
Rieder, H.. (1961). Eine hochempfindliche methode zur bestimmung von liquoreiweiss bei gleichzeitiger anwesenheit von p-aminosalicylsäure. Clinica Chimica Acta. 6(5). 671–676. 3 indexed citations
18.
Rieder, H. & M.R. Böhmer. (1960). Zur Spezifität der modifizierten «Keller»‐Reaktion. II. Mitteilung. Helvetica Chimica Acta. 43(3). 638–644. 3 indexed citations
19.
Rieder, H.. (1958). Vergleich einiger methoden zur bestimmung des gesamteiweisses im liquor und anderen stark verdünnten lösungen. Clinica Chimica Acta. 3(5). 455–470. 7 indexed citations
20.
Rieder, H., et al.. (1957). BIOLOGISCHE TOXIZITÄTSBESTIMMUNG PATHOLOGISCHER KÖRPERFLÜSSIGKEITEN. Cells Tissues Organs. 30(1-4). 286–297. 2 indexed citations

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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