Jane Lange

1.9k citations
54 papers · 1.3k · h-index 19

Impact in

Papers in

Jane Lange

45 papers receiving 1.2k citations

Peers

Jane Lange
Comparison fields: 5 of 104
  • Clinical Psychology 275
  • Social Psychology 225
  • Health 56
  • Pulmonary and Respiratory Medicine 166
  • Pediatrics, Perinatology and Child Health 96
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Qi Xue China
Yinghui Wei United Kingdom
Eric Tran Canada
Nihal Mohamed United States
James Dougherty United States
Marie Flannery United States
Melissa Y. Carpentier United States
Li Ling China
Josie Sandercock United Kingdom
Martine C. de Vries Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Jane Lange

Since Specialization
Citations

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

Fields of papers citing papers by Jane Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007303
2 2016122
3 200884
4 201067
5 200961
6 200959
7 201159
8 201654
9 201654
10 200942
11 201434
12 201430
13 202029
14 201628
15 201325
16 201322
17 201220
18 201219
19 201318
20 202017

About Jane Lange

Jane Lange is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (7 papers), Renal and related cancers (6 papers), Global Cancer Incidence and Screening (6 papers), Statistical Methods and Inference (3 papers), Mental Health Treatment and Access (3 papers), Renal cell carcinoma treatment (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Clinical Psychology (275 citations), Social Psychology (225 citations), Health (56 citations), Pulmonary and Respiratory Medicine (166 citations) and Pediatrics, Perinatology and Child Health (96 citations). Jane Lange has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jeanne Miranda, Erum Nadeem, Marie N. Fongwa, Dawn Edge, Norman E. Breslow, Daniel M. Green, Rebecca A. Hubbard, Susan Peterson, Diana L. Miglioretti and Karla Kerlikowske. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Psychiatric Services, Journal of Medical Screening, Cancer and Statistics in Medicine.

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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