Matthew K. Stein

788 citations
23 papers · 516 indexed · h-index 13
Topics
Lung Cancer Treatments and Mutations (9 papers)Cancer Genomics and Diagnostics (7 papers)Regulation of Appetite and Obesity (3 papers)

In The Last Decade

Matthew K. Stein

23 papers receiving 510 citations

Peers

Matthew K. Stein
Comparison fields: 5 of 82
  • Oncology 136
  • Molecular Biology 128
  • Pulmonary and Respiratory Medicine 123
  • Epidemiology 89
  • Endocrine and Autonomic Systems 85
Replace Susana Hernández with:
Susana Hernández Spain
Katrin Horn Germany
Myung Jin Yang South Korea
Elior Rahmani United States
Ilker Tunc United States
Roberto Pariente Spain
Shen Wu China
Emilie Sundqvist Sweden
Christine Reyes United States
Mariano Marrodán Argentina
Matthew K. Stein relative to Susana Hernández Spain Susana Hernández's profile →
Citations per field
00.5×1.6×
Susana Hernández · 1×
Citations per year

Countries citing papers authored by Matthew K. Stein

Since Specialization
Citations

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

Fields of papers citing papers by Matthew K. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew K. Stein

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 21
2 16
3 18
4 7
5 72
6 5
7 41
8 1
9 18
10 1
11 19
12 5
13 1
14 29
15 1
16 12
17 107
18 27
19 41
20 25

About Matthew K. Stein

Matthew K. Stein is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 23 papers that have together received 516 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Cancer Genomics and Diagnostics (7 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (85 citations), Modeling and Simulation (26 citations) and Oncology (136 citations). Matthew K. Stein has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Arthur D. Loewy, Rebecca L. Miller, Jung-Won Shin, Joel C. Geerling, Ari M. Vanderwalde, Richard T. Davey, Susan Reed, Tyler Bristol, Rani Athota and Lindsay Czajkowski. Their work appears in journals such as Journal of Clinical Oncology, Blood and Clinical Infectious Diseases.

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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