Kyle M. Walsh

116 papers receiving 4.5k citations

Kyle M. Walsh's Hit Papers

The epidemiology of glioma in adults: a "state of the science" review 2014 · 1.6k citations
1.6k0+4+8Years since publication50010001.5k

Peers

Kyle M. Walsh
Comparison fields: 5 of 140
  • Genetics 1.4k
  • Aging 153
  • Cancer Research 1.0k
  • Molecular Biology 1.9k
  • Pulmonary and Respiratory Medicine 789
Replace Torben A. Kruse with:
Torben A. Kruse Denmark
Jaroslav Jelı́nek United States
Benjamin H. Lee United States
Vicente Andrés Spain
Lucy A. Godley United States
Beatriz G. Gálvez Spain
Lanlan Shen United States
Bruce H. Cohen United States
Masafumi Matsuo Japan
Sandra M. Herrmann United States
Kyle M. Walsh relative to Torben A. Kruse Denmark Torben A. Kruse's profile →
Citations per field
00.5×2.5×
Torben A. Kruse · 1×
Citations per year

Countries citing papers authored by Kyle M. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle M. Walsh. 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 Kyle M. Walsh. The network helps show where Kyle M. Walsh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The epidemiology of glioma in adults: a "state of the science" review
Hit paper breakdown →
20141590
2 2015398
3 2015329
4 2012295
5 2015131
6 201896
7 201871
8 201563
9 201255
10 201551
11 201651
12 201650
13 201650
14 201647
15 201746
16 201142
17 202141
18 201739
19 201138
20 202037

About Kyle M. Walsh

Kyle M. Walsh is a scholar working on Molecular Biology, Genetics, Genetics, Pediatrics, Perinatology and Child Health and Oncology, having authored 120 papers that have together received 4.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), Epigenetics and DNA Methylation (22 papers), Acute Lymphoblastic Leukemia research (12 papers), Childhood Cancer Survivors' Quality of Life (11 papers), Telomeres, Telomerase, and Senescence (11 papers), Genetic Associations and Epidemiology (10 papers), Cytomegalovirus and herpesvirus research (7 papers) and Meningioma and schwannoma management (6 papers). The work is most often cited by research in Genetics (1.4k citations), Aging (153 citations), Cancer Research (1.0k citations), Molecular Biology (1.9k citations) and Pulmonary and Respiratory Medicine (789 citations). Kyle M. Walsh has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Margaret Wrensch, Melike Pekmezci, Quinn T. Ostrom, Jill S. Barnholtz‐Sloan, James L. Fisher, Luc Bauchet, Michelle C. Turner, Judith Schwartzbaum, Isabelle Deltour and Faith G. Davis. Their work appears in journals such as Neuro-Oncology, Cancer Epidemiology Biomarkers & Prevention, Neuro-Oncology Advances, Cancer Research and Pediatric Blood & Cancer.

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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