Tonya C. Walser

3.5k citations
41 papers · 2.1k indexed · h-index 23
Topics
Cancer Cells and Metastasis (10 papers)Cytokine Signaling Pathways and Interactions (8 papers)Inflammatory mediators and NSAID effects (7 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Tonya C. Walser

40 papers receiving 2.1k citations

Peers

Tonya C. Walser
Comparison fields: 5 of 125
  • Molecular Biology 846
  • Oncology 840
  • Immunology 473
  • Cancer Research 423
  • Pulmonary and Respiratory Medicine 407
Replace Wolfram C. M. Dempke with:
Wolfram C. M. Dempke Germany
Tomonori Sasahira Japan
Long Wang China
Akira Yamanoi Japan
Eva C. Vaquero Spain
Markus W. Büchler Germany
D. Lee Gorden United States
Zobeida Cruz‐Monserrate United States
Michihiko Wada Japan
Tonya C. Walser relative to Wolfram C. M. Dempke Germany Wolfram C. M. Dempke's profile →
Citations per field
00.5×1.5×2.1×
Wolfram C. M. Dempke · 1×
Citations per year

Countries citing papers authored by Tonya C. Walser

Since Specialization
Citations

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

Fields of papers citing papers by Tonya C. Walser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tonya C. Walser. 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 Tonya C. Walser. The network helps show where Tonya C. Walser may publish in the future.

Co-authorship network of co-authors of Tonya C. Walser

This figure shows the co-authorship network connecting the top 25 collaborators of Tonya C. Walser. A scholar is included among the top collaborators of Tonya C. Walser 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 Tonya C. Walser. Tonya C. Walser 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
#WorkIndexed citations
1 76
2 11
3 3
4 3
5 1
6 35
7 36
8 59
9 4
10 31
11
Elevated neutrophil gelatinase-associated lipocalin contributes to erlotinib resistance in non-small cell lung cancer.
15
12 66
13 53
14 47
15 99
16 145
17 72
18 246
19 70
20 51

About Tonya C. Walser

Tonya C. Walser is a scholar working on Oncology, Cancer Research and Immunology, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Inflammatory mediators and NSAID effects (7 papers). The work is most often cited by research in Oncology (840 citations), Cancer Research (423 citations) and Immunology (473 citations). Tonya C. Walser has collaborated with scholars based in United States, China and France. Frequent co-authors include Steven M. Dubinett, Amy M. Fulton, Xinrong Ma, Namita Kundu, Gina Lee, Jane Yanagawa, Steven M. Dubinett, Xiaoyan Cui, Kostyantyn Krysan and E. Heinrich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Scientific Reports.

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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