Sven Petersen

1.5k total citations
21 papers, 1.3k citations indexed

About

Sven Petersen is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Sven Petersen has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Sven Petersen's work include Inflammatory mediators and NSAID effects (5 papers), Cell Adhesion Molecules Research (4 papers) and Estrogen and related hormone effects (3 papers). Sven Petersen is often cited by papers focused on Inflammatory mediators and NSAID effects (5 papers), Cell Adhesion Molecules Research (4 papers) and Estrogen and related hormone effects (3 papers). Sven Petersen collaborates with scholars based in Singapore, United States and Japan. Sven Petersen's co-authors include Nancy Hunter, Luka Milas, Cordula Petersen, Philip J. Tofilon, Kathy A. Mason, Michitaka Yamakawa, Kian Ang, John Mendelsohn, Zhen Fan and Frederick F. Lang and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Sven Petersen

21 papers receiving 1.2k citations

Peers

Sven Petersen
Comparison fields: 5 of 85
  • Oncology 454
  • Pharmacology 335
  • Molecular Biology 330
  • Pulmonary and Respiratory Medicine 318
  • Genetics 238
Replace B L Kemp with:
B L Kemp United States
Hiroyuki Achiwa Japan
Rebecca L. Shattuck-Brandt United States
Masayuki Enomoto Japan
Tetsuro Higuchi Japan
W K Hong United States
Motoi Kondo Japan
Joseph M. Giaconia United States
D A Edwards United States
Kishore Guda United States
B L Kemp United States View profile →
Citations per field, relative to Sven Petersen
Sven Petersen · 1×
Citations per year, relative to Sven Petersen
Sven Petersen · 1×

Countries citing papers authored by Sven Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Sven Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Petersen. A scholar is included among the top collaborators of Sven Petersen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sven Petersen. Sven Petersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 18
3 17
4 33
5 62
6 50
7 38
8 45
9 22
10 6
11 59
12 1
13 9
14 49
15 2
16
Enhancement of intrinsic tumor cell radiosensitivity induced by a selective cyclooxygenase-2 inhibitor.
167
17
Preferential enhancement of tumor radioresponse by a cyclooxygenase-2 inhibitor.
232
18
In vivo enhancement of tumor radioresponse by C225 antiepidermal growth factor receptor antibody.
408
19 4
20 2

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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