Walter Stöcker

6.1k citations
87 papers · 4.1k · h-index 37

Impact in

Papers in

Walter Stöcker

83 papers receiving 4k citations

Peers

Walter Stöcker
Comparison fields: 5 of 103
  • Cancer Research 2.1k
  • Biotechnology 98
  • Cell Biology 192
  • Genetics 346
  • Molecular Biology 596
Replace Werner Machleidt with:
Werner Machleidt Germany
James A. Irving United Kingdom
Jeffrey John Gorman Australia
Fuminori Tokunaga Japan
Thomas A. Kost United States
Maria Vittoria Cubellis Italy
Edward R. LaVallie United States
Pablo Fuentes‐Prior Spain
Ian J. MacRae United States
Ida B. Thøgersen Denmark
Walter Stöcker relative to Werner Machleidt Germany Werner Machleidt's profile →
Citations per field
00.5×2×3.3×
Werner Machleidt · 1×
Citations per year

Countries citing papers authored by Walter Stöcker

Since Specialization
Citations

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

Fields of papers citing papers by Walter Stöcker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995585
2 1992282
3 1995180
4 2008165
5 2004150
6 1996133
7 1993126
8 2011116
9 2013100
10 199399
11 200694
12 200382
13 198881
14 201081
15 201376
16 201273
17 201071
18 199470
19 201267
20 199665

About Walter Stöcker

Walter Stöcker is a scholar working on Cancer Research, Cell Biology, Public Health, Environmental and Occupational Health, Rheumatology and Molecular Biology, having authored 87 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (61 papers), Reproductive Biology and Fertility (6 papers), Hemoglobin structure and function (5 papers), Systemic Lupus Erythematosus Research (3 papers), TGF-β signaling in diseases (2 papers), Enzyme Structure and Function (2 papers), Organoboron and organosilicon chemistry (1 paper) and Marine Invertebrate Physiology and Ecology (1 paper). The work is most often cited by research in Cancer Research (2.1k citations), Biotechnology (98 citations), Cell Biology (192 citations), Genetics (346 citations) and Molecular Biology (596 citations). Walter Stöcker has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Wolfram Bode, F. Xavier Gomis‐Rüth, Robert Zwilling, Erwin E. Sterchi, Irene Yiallouros, Frank Grams, David Brian McKay, Peter Reinemer, Christoph Becker‐Pauly and Robert Huber. Their work appears in journals such as Biological Chemistry, Biochemistry, Journal of Biological Chemistry, PLoS ONE and Biochemical Journal.

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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