Kathleen Gajewski

2.0k citations
30 papers · 1.6k indexed · h-index 22

Kathleen Gajewski

30 papers receiving 1.6k citations

Peers

Kathleen Gajewski
Comparison fields: 5 of 81
  • Aging 69
  • Cell Biology 442
  • Cellular and Molecular Neuroscience 371
  • Immunology 429
  • Molecular Biology 1.1k
Replace Yasuyoshi Nishida with:
Yasuyoshi Nishida Japan
Amanda Simcox United States
Mirka Uhlířová Germany
Robert A. Schulz United States
Matthew Fish United States
James Castelli-Gair Hombrı́a Spain
Jeongsil Kim‐Ha South Korea
Todd Nystul United States
Sophie Pantalacci France
Lucas Waltzer France
Kathleen Gajewski relative to Yasuyoshi Nishida Japan Yasuyoshi Nishida's profile →
Citations per field
00.5×1.5×
Yasuyoshi Nishida · 1×
Citations per year

Countries citing papers authored by Kathleen Gajewski

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Gajewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 201815
3 201228
4 201024
5 200733
6 200749
7 20068
8 200623
9 200510
10 200563
11 200549
12 200268
13 200158
14 200066
15 199933
16 19997
17 199915
18 1999120
19 199836
20 1997118

About Kathleen Gajewski

Kathleen Gajewski is a scholar working on Aging, Cellular and Molecular Neuroscience and Immunology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (10 papers), Invertebrate Immune Response Mechanisms (8 papers), Congenital heart defects research (7 papers), Neurobiology and Insect Physiology Research (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Chromosomal and Genetic Variations (5 papers), Insect Resistance and Genetics (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Aging (69 citations), Cell Biology (442 citations) and Cellular and Molecular Neuroscience (371 citations). Kathleen Gajewski has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Robert A. Schulz, Nancy Fossett, Robert A. Schulz, Georg Halder, Leticia Sansores-García, Fisun Hamaratoǧlu, Chunyao Tao, Yongsok Kim, Cheol Yong Choi and Stuart H. Orkin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

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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