Noah Berlow

1.7k total citations
34 papers, 305 citations indexed

About

Noah Berlow is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Noah Berlow has authored 34 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Noah Berlow's work include Computational Drug Discovery Methods (11 papers), Sarcoma Diagnosis and Treatment (10 papers) and Gene Regulatory Network Analysis (6 papers). Noah Berlow is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Sarcoma Diagnosis and Treatment (10 papers) and Gene Regulatory Network Analysis (6 papers). Noah Berlow collaborates with scholars based in United States, Netherlands and Germany. Noah Berlow's co-authors include Ranadip Pal, Charles Keller, Lara E. Davis, Bernard Séguin, Saad Haider, Kyle G. Halvorson, Atiya Mansoor, Ivan Spasojević, Matthew N. Svalina and Donna Crabtree and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Noah Berlow

32 papers receiving 297 citations

Peers

Noah Berlow
Comparison fields: 5 of 63
  • Molecular Biology 175
  • Oncology 78
  • Computational Theory and Mathematics 74
  • Pulmonary and Respiratory Medicine 71
  • Genetics 67
Michael Röring Germany
Inna Smalley United States
John Patrick Mpindi Finland
Julien Bollard France
Kelly L. Slocum United States
Victoria Lock United Kingdom
Rik de Wijn Netherlands
Jessica C. Walrath United States
Mary Rose Pambid United States
Matthias Reule United Kingdom
Michael Röring Germany View profile →
Citations per field, relative to Noah Berlow
Noah Berlow · 1×
Citations per year, relative to Noah Berlow
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Countries citing papers authored by Noah Berlow

Since Specialization
Citations

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

Fields of papers citing papers by Noah Berlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Berlow

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Berlow. A scholar is included among the top collaborators of Noah Berlow 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 Noah Berlow. Noah Berlow 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
# Work Indexed citations
1 2
2 4
3 3
4 8
5 13
6 11
7 1
8 9
9 6
10 1
11 13
12 7
13 7
14 23
15 14
16 1
17 49
18 3
19 30
20 0

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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