M. Semar

37 papers receiving 608 citations

Peers

M. Semar
Comparison fields: 5 of 87
  • Nephrology 98
  • Ecology, Evolution, Behavior and Systematics 201
  • Cell Biology 138
  • Hematology 72
  • Plant Science 258
Replace Irena Kustrzeba−Wójcicka with:
Irena Kustrzeba−Wójcicka Poland
Teri Jo Mauch United States
Xue Zou China
Hazel England United Kingdom
I Kedar Israel
William McDowell Germany
Chunyan Wu China
Inna P. Gladysheva United States
Keke Wang China
K. F. McGeeney Ireland
M. Semar relative to Irena Kustrzeba−Wójcicka Poland Irena Kustrzeba−Wójcicka's profile →
Citations per field
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Irena Kustrzeba−Wójcicka · 1×
Citations per year

Countries citing papers authored by M. Semar

Since Specialization
Citations

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

Fields of papers citing papers by M. Semar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200875
2 200970
3 197161
4 197055
5 196950
6 200744
7 201142
8
Preparation of the major plasma fractions by solid-phase polyelectrolytes.
197838
9 197134
10 196927
11 199524
12 199221
13 201021
14
Removal of hepatitis B surface antigen (HBsAg) from plasma fractions.
197617
15 196815
16 197211
17 202111
18
Independence of the nephritogenicity of group A streptococci from their M types.
197110
19
Detection of hepatitis B surface antigen in potentially contaminated human plasma and plasma fractions.
19779
20 19797

About M. Semar

M. Semar is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 700 indexed citations. Recurring topics across this work include Fungal Plant Pathogen Control (9 papers), Mycotoxins in Agriculture and Food (7 papers), Plant Pathogens and Fungal Diseases (7 papers), Biochemical Acid Research Studies (4 papers), Hepatitis B Virus Studies (4 papers), Plant Disease Resistance and Genetics (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Neurological and metabolic disorders (4 papers). The work is most often cited by research in Nephrology (98 citations), Ecology, Evolution, Behavior and Systematics (201 citations), Cell Biology (138 citations), Hematology (72 citations) and Plant Science (258 citations). M. Semar has collaborated with scholars based in United States, Germany and France. Frequent co-authors include G. Stammler, Gerhard Treser, Andreas Koch, S. Schlehuber, D. Strobel, Kurt Lange, Katharina Lange, Inge Sagel, E. T. Lonergan and R. Bernd Sterzel. Their work appears in journals such as Journal of Clinical Investigation, Crop Protection, Vox Sanguinis, Thrombosis and Haemostasis and Annals of the New York Academy of Sciences.

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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