Jaclyn Beca

1.2k citations
59 papers · 727 · h-index 15

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 12
    • Health Systems, Economic Evaluations, Quality of Life 16
    • Economic and Financial Impacts of Cancer 11
    • Pharmaceutical Economics and Policy 4

Jaclyn Beca

52 papers receiving 713 citations

Peers

Jaclyn Beca
Comparison fields: 5 of 76
  • Oncology 211
  • Otorhinolaryngology 22
  • Economics and Econometrics 153
  • Pulmonary and Respiratory Medicine 139
  • Cancer Research 58
Replace Nicola Schussler with:
Nicola Schussler United States
Timothy A. Lin United States
Niels Neymark Belgium
Bernardo H. L. Goulart United States
Helmneh M. Sineshaw United States
Noa Gordon Israel
P. Bonomi United States
W.K. Evans Canada
Mei‐Chin Hsieh United States
Amit Jethanandani United States
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Citations per field
00.5×10×20×29.5×
Nicola Schussler · 1×
Citations per year

Countries citing papers authored by Jaclyn Beca

Since Specialization
Citations

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

Fields of papers citing papers by Jaclyn Beca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201367
2 201464
3 201962
4 202046
5 201442
6 201240
7 202039
8 201236
9 201624
10 202222
11
Introduction to Cost-Effectiveness Analysis for Clinicians
201322
12 201321
13 201218
14 201716
15 201515
16 202014
17 201913
18 201912
19 201911
20 201711

About Jaclyn Beca

Jaclyn Beca is a scholar working on Oncology, Economics and Econometrics, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Immunology, having authored 59 papers that have together received 727 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (16 papers), Pancreatic and Hepatic Oncology Research (12 papers), Economic and Financial Impacts of Cancer (11 papers), Lung Cancer Treatments and Mutations (5 papers), Pharmaceutical Economics and Policy (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Biosimilars and Bioanalytical Methods (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (211 citations), Otorhinolaryngology (22 citations), Economics and Econometrics (153 citations), Pulmonary and Respiratory Medicine (139 citations) and Cancer Research (58 citations). Jaclyn Beca has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jeffrey S. Hoch, Kelvin Chan, Jean Hai Ein Yong, Wei Fang Dai, Scott Gavura, Wanrudee Isaranuwatchai, Padraig Warde, T. McGowan, Murray Krahn and Craig C. Earle. Their work appears in journals such as Value in Health, Journal of Clinical Oncology, Clinical Oncology, Cancer Medicine and PharmacoEconomics.

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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