Maria A. Friedlander

751 citations
18 papers · 417 indexed · h-index 10
Topics
Breast Cancer Treatment Studies (4 papers)AI in cancer detection (3 papers)Biomedical and Engineering Education (2 papers)

In The Last Decade

Maria A. Friedlander

18 papers receiving 404 citations

Peers

Maria A. Friedlander
Comparison fields: 5 of 45
  • Pulmonary and Respiratory Medicine 198
  • Oncology 162
  • Epidemiology 119
  • Cancer Research 119
  • Surgery 111
Replace Cristina Maddau with:
Cristina Maddau Italy
Emma McLean United Kingdom
J. Garde Spain
G Kocjan United Kingdom
Jian Zhu China
Adam D. Toll United States
Ricardo Pastorello Brazil
Yizhen Fu China
Said Khayyata United States
Okihide Suzuki Japan
Maria A. Friedlander relative to Cristina Maddau Italy Cristina Maddau's profile →
Citations per field
00.5×1.5×
Cristina Maddau · 1×
Citations per year

Countries citing papers authored by Maria A. Friedlander

Since Specialization
Citations

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

Fields of papers citing papers by Maria A. Friedlander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria A. Friedlander. 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 Maria A. Friedlander. The network helps show where Maria A. Friedlander may publish in the future.

Co-authorship network of co-authors of Maria A. Friedlander

This figure shows the co-authorship network connecting the top 25 collaborators of Maria A. Friedlander. A scholar is included among the top collaborators of Maria A. Friedlander 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 Maria A. Friedlander. Maria A. Friedlander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 10
2 2
3 7
4 14
5 5
6 10
7 2
8 1
9 25
10 32
11 13
12 1
13 2
14 183
15 19
16 20
17 9
18 62

About Maria A. Friedlander

Maria A. Friedlander is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 18 papers that have together received 417 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), AI in cancer detection (3 papers) and Biomedical and Engineering Education (2 papers). The work is most often cited by research in Cancer Research (119 citations), Pulmonary and Respiratory Medicine (198 citations) and Oncology (162 citations). Maria A. Friedlander has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Oscar Lin, Natasha Rekhtman, André L. Moreira, Gregory J. Riely, Suzanne M. Brandt, Carlie Sigel, Maureen F. Zakowski, William D. Travis, Elizabeth A. Stier and Marcia Edelweiss. Their work appears in journals such as Cancer, The American Journal of Surgical Pathology and Journal of Thoracic 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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