Haley K. Perlow

40 papers receiving 455 citations

Hit Papers

Liquid biopsies: the future of cancer early detection 2023 · 187 citations
1870+1+2Years since publication50100150

Peers

Haley K. Perlow
Comparison fields: 5 of 81
  • Genetics 161
  • Cancer Research 100
  • Otorhinolaryngology 26
  • Pulmonary and Respiratory Medicine 179
  • Radiology, Nuclear Medicine and Imaging 79
Replace Aditya Shenoy with:
Aditya Shenoy United Kingdom
Keun‐Yong Eom South Korea
Roman O. Kowalchuk United States
Roman Makarewicz Poland
Huan-Huan Wang China
Lu‐Jun Zhao China
Renate Haselmann Germany
J.A. Hattangadi United States
Emily S. Lebow United States
Benjamin Movsas United States
Haley K. Perlow relative to Aditya Shenoy United Kingdom Aditya Shenoy's profile →
Citations per field
00.5×10×13.8×
Aditya Shenoy · 1×
Citations per year

Countries citing papers authored by Haley K. Perlow

Since Specialization
Citations

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

Fields of papers citing papers by Haley K. Perlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haley K. Perlow. 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 Haley K. Perlow. The network helps show where Haley K. Perlow may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Liquid biopsies: the future of cancer early detection
Hit paper breakdown →
2023187
2 202134
3 202220
4 202219
5 201818
6 202214
7 202313
8 201813
9 202012
10 202310
11 20239
12 20239
13 20239
14 20229
15 20228
16 20248
17 20227
18 20237
19 20227
20 20226

About Haley K. Perlow

Haley K. Perlow is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Epidemiology, Oncology and Surgery, having authored 48 papers that have together received 462 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), Brain Metastases and Treatment (24 papers), Meningioma and schwannoma management (15 papers), Lung Cancer Research Studies (7 papers), Management of metastatic bone disease (5 papers), Head and Neck Cancer Studies (5 papers), Advanced Radiotherapy Techniques (4 papers) and Cancer-related cognitive impairment studies (3 papers). The work is most often cited by research in Genetics (161 citations), Cancer Research (100 citations), Otorhinolaryngology (26 citations), Pulmonary and Respiratory Medicine (179 citations) and Radiology, Nuclear Medicine and Imaging (79 citations). Haley K. Perlow has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Joshua D. Palmer, James M. Cameron, Matthew J. Baker, Paul M. Brennan, David Scott Palmer, Alexandra Sala, Raju R. Raval, Dukagjin Blakaj, Sasha Beyer and Jennifer K. Matsui. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Advances in Radiation Oncology, Neuro-Oncology, Practical Radiation Oncology and Journal of Neuro-Oncology.

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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