Beate Meier

5.2k citations
67 papers · 4.4k indexed · 2 hit papers · h-index 27

Beate Meier

65 papers receiving 4.3k citations

Hit Papers

Dithiocarbamates as potent inhibitors of nuclear factor k...1.4k19892026200120134008001.2k

Peers

Beate Meier
Comparison fields: 5 of 146
  • Immunology 1.0k
  • Cancer Research 695
  • Inorganic Chemistry 594
  • Biochemistry 199
  • Physiology 699
Replace Masanori Kitamura with:
Masanori Kitamura Japan
Harry S. Nick United States
Sunil K. Manna India
Nam‐Ho Kim South Korea
Nathan Davies United Kingdom
Husam M. Abu‐Soud United States
J. Andrés Melendez United States
Ernst Malle Austria
Marcelo G. Bonini United States
Michael Kinter United States
Beate Meier relative to Masanori Kitamura Japan Masanori Kitamura's profile →
Citations per field
00.5×1.5×1.9×
Masanori Kitamura · 1×
Citations per year

Countries citing papers authored by Beate Meier

Since Specialization
Citations

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

Fields of papers citing papers by Beate Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201760
2 201753
3 201510
4 20147
5 20128
6 201145
7 200374
8 200132
9 200113
10 199925
11 199519
12 1995154
13 199424
14 199417
15 199320
16 19923
17
Dithiocarbamates as potent inhibitors of nuclear factor kappa B activation in intact cells.breakdown →
19921379
18 199043
19 199029
20 198922

About Beate Meier

Beate Meier is a scholar working on Inorganic Chemistry, Microbiology and Nephrology, having authored 67 papers that have together received 4.4k indexed citations. Recurring topics across this work include Metal-Catalyzed Oxygenation Mechanisms (20 papers), Thyroid and Parathyroid Surgery (7 papers), Redox biology and oxidative stress (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Radioactive element chemistry and processing (6 papers), Vanadium and Halogenation Chemistry (5 papers), Parathyroid Disorders and Treatments (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Immunology (1.0k citations), Cancer Research (695 citations) and Inorganic Chemistry (594 citations). Beate Meier has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Patrick A. Baeuerle, Wulf Dröge, Ralf Schreck, Daniela N. Männel, Gerhard Habermehl, Heinfried H. Radeke, Klaus Resch, Helmut Sies, Mamoun Younes and Martin K. Walz. Their work appears in journals such as Biochemical Journal, Langenbeck s Archives of Surgery, World Journal of Surgery, Journal of Inorganic Biochemistry and Archives of Biochemistry and Biophysics.

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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