S. L. K. Hsam

3.8k citations
98 papers · 3.2k indexed · h-index 35

S. L. K. Hsam

98 papers receiving 2.9k citations

Peers

S. L. K. Hsam
Comparison fields: 5 of 71
  • Plant Science 3.0k
  • Gastroenterology 203
  • Agronomy and Crop Science 173
  • Environmental Chemistry 143
  • Genetics 374
Replace F. J. Zeller with:
F. J. Zeller Germany
Xiujin Lan China
Hideyuki Funatsuki Japan
M. Bernard France
Saminathan Subburaj South Korea
Volker Mohler Germany
Louise S. O’Donoughue Canada
Michel M. Beckert France
Marie-Françoise Gautier France
Peidu Chen China
S. L. K. Hsam relative to F. J. Zeller Germany F. J. Zeller's profile →
Citations per field
00.5×1.6×
F. J. Zeller · 1×
Citations per year

Countries citing papers authored by S. L. K. Hsam

Since Specialization
Citations

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

Fields of papers citing papers by S. L. K. Hsam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Rapid separation and identification of wheat HMW glutenin subunits by UPLC and comparative analysis with HPLC.
201419
2 20146
3 201228
4 20118
5 20109
6 201033
7 200832
8 200744
9 200727
10 200451
11 200423
12 20044
13 200429
14 20049
15 200421
16 200441
17 200339
18
Identification of powdery mildew and leaf rust resistance genes in common wheat (Triticum aestivum L. em. Thell.) cultivars grown in Bulgaria and Russia.
20006
19
Chromosomal location of powdery mildew resistance genes in Chinese wheat (Triticum aestivum L. em. Thell.) landraces Xiaobaidong and Fuzhuang 30
200025
20
Identification of powdery mildew resistance genes in common wheat [Triticum aestivum L.em.Thell.]. XI. Cultivars grown in Poland
199812

About S. L. K. Hsam

S. L. K. Hsam is a scholar working on Plant Science, Gastroenterology and Environmental Chemistry, having authored 98 papers that have together received 3.2k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (91 papers), Plant Disease Resistance and Genetics (55 papers), Plant Pathogens and Resistance (20 papers), Plant pathogens and resistance mechanisms (19 papers), Genetics and Plant Breeding (10 papers), Phytase and its Applications (9 papers), Powdery Mildew Fungal Diseases (8 papers) and Celiac Disease Research and Management (8 papers). The work is most often cited by research in Plant Science (3.0k citations), Gastroenterology (203 citations) and Agronomy and Crop Science (173 citations). S. L. K. Hsam has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include F. J. Zeller, Friedrich J. Zeller, Volker Mohler, X. Q. Huang, Lorenz Hartl, Yueming Yan, G. Wenzel, Gerhard Wenzel, Wuletaw Tadesse and Yiguo Jiang. Their work appears in journals such as PLoS ONE, Theoretical and Applied Genetics and Crop Science.

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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