Lev Becker

8.8k citations
47 papers · 3.6k indexed · 3 hit papers · h-index 26
Topics
Immune cells in cancer (12 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)Lipoproteins and Cardiovascular Health (7 papers)

In The Last Decade

Lev Becker

45 papers receiving 3.6k citations

Hit Papers

Gender Bias in Autoimmunity Is Influenced by Microbiota2013202620172021201320142021200400600

Peers

Lev Becker
Comparison fields: 5 of 123
  • Molecular Biology 1.3k
  • Immunology 1.3k
  • Epidemiology 949
  • Physiology 867
  • Surgery 429
Replace Senad Divanovic with:
Senad Divanovic United States
José Ignacio Riezu‐Boj Spain
Lucia Malaguarnera Italy
David M. Turner United Kingdom
Barbara S. Nikolajczyk United States
Shawn Winer Canada
Dirk Schmidt‐Arras Germany
Daniel Fishman Israel
Lien Dejager Belgium
Massimo Sanchez Italy
Lev Becker relative to Senad Divanovic United States Senad Divanovic's profile →
Citations per field
00.5×1.5×1.9×
Senad Divanovic · 1×
Citations per year

Countries citing papers authored by Lev Becker

Since Specialization
Citations

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

Fields of papers citing papers by Lev Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lev Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Lev Becker. A scholar is included among the top collaborators of Lev Becker 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 Lev Becker. Lev Becker 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 35
2 83
3
Neutrophil elastase selectively kills cancer cells and attenuates tumorigenesisbreakdown →
216
4 29
5 4
6 26
7 68
8 71
9 216
10 108
11 20
12 138
13
Metabolic Dysfunction Drives a Mechanistically Distinct Proinflammatory Phenotype in Adipose Tissue Macrophagesbreakdown →
625
14
Gender Bias in Autoimmunity Is Influenced by Microbiotabreakdown →
704
15 83
16 65
17 38
18 29
19 5
20 4

About Lev Becker

Lev Becker is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 47 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune cells in cancer (12 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Immunology (1.3k citations), Physiology (867 citations) and Biological Psychiatry (75 citations). Lev Becker has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kelly Q. Schoenfelt, Alexander V. Chervonsky, Yoshinori Umesaki, Dionysios A. Antonopoulos, Leonid Yurkovetskiy, Aly A. Khan, Pavel Volchkov, Laura Graham, Chang Cui and Jay W. Heinecke. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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