S. Müllertz

40 papers receiving 2.5k citations

S. Müllertz's Hit Papers

The fibrin plate method for estimating fibrinolytic activity 1952 · 1.4k citations
1.4k0+24+49Years since publication4008001.2k

Peers

S. Müllertz
Comparison fields: 5 of 115
  • Biotechnology 1.2k
  • Cancer Research 1.1k
  • Hematology 809
  • Internal Medicine 67
  • Genetics 188
Replace P. Friberger with:
P. Friberger Sweden
Katsumi Takada Japan
B. Hessel Sweden
M.W.C. Hatton Canada
George Weinbaum United States
Goro Kōsaki Japan
Susumu Miyata Japan
John R. Shainoff United States
Raymund Machovich Hungary
Lars C. Petersen Denmark
S. Müllertz relative to P. Friberger Sweden P. Friberger's profile →
Citations per field
00.5×10×12.8×
P. Friberger · 1×
Citations per year

Countries citing papers authored by S. Müllertz

Since Specialization
Citations

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

Fields of papers citing papers by S. Müllertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside S. Müllertz, 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 S. Müllertz Line = papers co-authored together S. Müllertz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The fibrin plate method for estimating fibrinolytic activity
Hit paper breakdown →
19521442
2 1976223
3 1955134
4 1953106
5 198493
6 196680
7 195361
8 198160
9 197459
10 196746
11 197446
12 195745
13 197440
14 196739
15 198439
16 197737
17
Mechanism of activation and effect of plasmin in blood.
195632
18 195330
19 196729
20 196428

About S. Müllertz

S. Müllertz is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Biotechnology, Molecular Biology and Genetics, having authored 42 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (19 papers), Blood properties and coagulation (11 papers), Enzyme Production and Characterization (7 papers), Digestive system and related health (5 papers), Pancreatitis Pathology and Treatment (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Diet and metabolism studies (3 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Biotechnology (1.2k citations), Cancer Research (1.1k citations), Hematology (809 citations), Internal Medicine (67 citations) and Genetics (188 citations). S. Müllertz has collaborated with scholars based in Denmark, United Kingdom and Russia. Frequent co-authors include Tage Astrup, Inge Clemmensen, H. Worning, Steffen Ullitz Thorsen, E. Hess Thaysen, H. O. Bang, Ulla Christensen, Sixtus Thorsen, Lars C. Petersen and O Storm. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, Scandinavian Journal of Gastroenterology, Biochemical Journal, Experimental Biology and Medicine 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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