Howard M. Stern

11.8k total citations · 1 hit paper
67 papers, 5.0k citations indexed

About

Howard M. Stern is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Howard M. Stern has authored 67 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 26 papers in Oncology and 14 papers in Genetics. Recurrent topics in Howard M. Stern's work include Chronic Lymphocytic Leukemia Research (14 papers), HER2/EGFR in Cancer Research (12 papers) and Lymphoma Diagnosis and Treatment (11 papers). Howard M. Stern is often cited by papers focused on Chronic Lymphocytic Leukemia Research (14 papers), HER2/EGFR in Cancer Research (12 papers) and Lymphoma Diagnosis and Treatment (11 papers). Howard M. Stern collaborates with scholars based in United States, France and Belgium. Howard M. Stern's co-authors include Leonard I. Zon, Stephen D. Hauschka, Klaus P. Hoeflich, Jennifer L. Shepard, James F. Amatruda, Thinh Q. Pham, Xander Munroe, Mark X. Sliwkowski, Evelyn Yao and Lisa Crocker and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Genes & Development.

In The Last Decade

Howard M. Stern

67 papers receiving 4.9k citations

Hit Papers

A Central Role for HER3 in HER2 -Amplified Breast Cancer:... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Howard M. Stern
Comparison fields: 5 of 125
  • Molecular Biology 3.1k
  • Oncology 1.4k
  • Cell Biology 831
  • Cancer Research 808
  • Immunology 679
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Henrik Daub Germany View profile →
Citations per field, relative to Howard M. Stern
Howard M. Stern · 1×
Citations per year, relative to Howard M. Stern
Howard M. Stern · 1×

Countries citing papers authored by Howard M. Stern

Since Specialization
Citations

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

Fields of papers citing papers by Howard M. Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard M. Stern. 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 Howard M. Stern. The network helps show where Howard M. Stern may publish in the future.

Co-authorship network of co-authors of Howard M. Stern

This figure shows the co-authorship network connecting the top 25 collaborators of Howard M. Stern. A scholar is included among the top collaborators of Howard M. Stern 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 Howard M. Stern. Howard M. Stern 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 6
2 204
3 57
4 144
5 125
6 14
7 66
8 33
9 33
10 51
11 177
12 144
13
Abstract #LB-131: Biomarker evaluation in the Phase III, placebo (P)-controlled, randomized BeTa trial of bevacizumab (B) and erlotinib (E) for patients (pts) with advanced non-small cell lung cancer (NSCLC) after failure of standard 1st-line chemotherapy: correlation with treatment outcomes
1
14
A Central Role for HER3 in HER2 -Amplified Breast Cancer: Implications for Targeted Therapy breakdown →
501
15 18
16 185
17 118
18 41
19 62
20 90

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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