K. Nilsson

685 citations
42 papers · 539 · h-index 12

Impact in

Papers in

K. Nilsson

37 papers receiving 505 citations

Peers

K. Nilsson
Comparison fields: 5 of 110
  • Environmental Engineering 86
  • Control and Systems Engineering 131
  • Industrial and Manufacturing Engineering 54
  • Microbiology 18
  • Immunology 58
Replace Jang Hyun Lee with:
Jang Hyun Lee South Korea
Xuejie Wu China
Fan Chen China
Wenjun Shao China
Zhonghua Liu China
Xianfei He China
Richard W. Miller United States
M. Caruso Italy
Jiayan Liu China
Tengfei Zhang China
K. Nilsson relative to Jang Hyun Lee South Korea Jang Hyun Lee's profile →
Citations per field
00.5×4.5×
Jang Hyun Lee · 1×
Citations per year

Countries citing papers authored by K. Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by K. Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Nilsson, 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 K. Nilsson Line = papers co-authored together K. Nilsson 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 200589
2 198567
3 201257
4
The use of a quantitative assay in endotoxin testing.
198733
5
Metabolism of 14C-labelled histamine in pregnant and non-pregnant women.
195932
6 200429
7 200827
8 200625
9 201422
10 200615
11 198415
12 201411
13 198811
14 200510
15
Distinct actions of Flt3 ligand and stem cell factor on myeloid lineage selection and maturation of granulocytes versus macrophages.
19989
16 20079
17 19899
18 19757
19 20167
20 20146

About K. Nilsson

K. Nilsson is a scholar working on Control and Systems Engineering, Computational Mechanics, Immunology, Environmental Engineering and Aerospace Engineering, having authored 42 papers that have together received 539 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Wind Energy Research and Development (6 papers), Fluid Dynamics and Vibration Analysis (6 papers), Wind and Air Flow Studies (5 papers), Robotic Mechanisms and Dynamics (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Environmental Engineering (86 citations), Control and Systems Engineering (131 citations), Industrial and Manufacturing Engineering (54 citations), Microbiology (18 citations) and Immunology (58 citations). K. Nilsson has collaborated with scholars based in Sweden, Canada and Spain. Frequent co-authors include Jonas Bergh, J. Norberto Pires, Richard Ashley, Maria Viklander, Kari Alitalo, V.-P. Lehto, Kalle Saksela, Anders Robertsson, Germano Veiga and Anders Blomdell. Their work appears in journals such as IEEE Robotics & Automation Magazine, Applied Microbiology and Biotechnology, Robotics and Computer-Integrated Manufacturing, Renewable Energy and Journal of Molecular Medicine.

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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