Siegina G. Evers

1.4k citations
16 papers · 1.2k indexed · 1 hit paper · h-index 10
Topics
Estrogen and related hormone effects (5 papers)Lung Cancer Treatments and Mutations (5 papers)Lung Cancer Research Studies (4 papers)
Partner nations
NetherlandsUnited States

In The Last Decade

Siegina G. Evers

15 papers receiving 1.1k citations

Hit Papers

Mutational Activation of the K-rasOncogene19872026200020131987100200300400

Peers

Siegina G. Evers
Comparison fields: 5 of 71
  • Molecular Biology 612
  • Oncology 597
  • Pulmonary and Respiratory Medicine 543
  • Cancer Research 330
  • Pathology and Forensic Medicine 128
Replace Minoru Niimoto with:
Minoru Niimoto Japan
Sachiyo Mimaki Japan
William Dahut United States
Simone W. Span Netherlands
Petra Kristel Netherlands
Jonathan M. Kurie United States
Toshiyuki Tenjo Japan
Shazli N. Malik United States
Morag Seywright United Kingdom
C C Bancroft United States
Siegina G. Evers relative to Minoru Niimoto Japan Minoru Niimoto's profile →
Citations per field
00.5×10×15×
Minoru Niimoto · 1×
Citations per year

Countries citing papers authored by Siegina G. Evers

Since Specialization
Citations

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

Fields of papers citing papers by Siegina G. Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siegina G. Evers. 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 Siegina G. Evers. The network helps show where Siegina G. Evers may publish in the future.

Co-authorship network of co-authors of Siegina G. Evers

This figure shows the co-authorship network connecting the top 25 collaborators of Siegina G. Evers. A scholar is included among the top collaborators of Siegina G. Evers 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 Siegina G. Evers. Siegina G. Evers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 161
2 2
3 42
4 8
5 37
6 3
7
Incidence and possible clinical significance of K-ras oncogene activation in adenocarcinoma of the human lung.
386
8 0
9
Mutational Activation of the K-rasOncogenebreakdown →
450
10 1
11 11
12 9
13 9
14 8
15 57
16 9

About Siegina G. Evers

Siegina G. Evers is a scholar working on Toxicology, Oncology and Genetics, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Cancer Research (330 citations), Oncology (597 citations) and Pulmonary and Respiratory Medicine (543 citations). Siegina G. Evers has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Sjoerd Rodenhuis, Johannes L. Bos, Wolter J. Mooi, Nico van Zandwijk, Robbert J.C. Slebos, S S Wagenaar, Peter C. Van Bodegom, W. J. Mooi, Mels Sluyser and Steven N. Goodman. Their work appears in journals such as Nature, New England Journal of Medicine and JNCI Journal of the National Cancer Institute.

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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2026