Michael C. Haffner

10.1k citations
154 papers · 7.7k · 1 hit paper · h-index 45

Impact in

Papers in

Michael C. Haffner

149 papers receiving 7.5k citations

Michael C. Haffner's Hit Papers

Genomic and phenotypic heterogeneity in prostate cancer 2020 · 380 citations
3800+2+4Years since publication100200300

Peers

Michael C. Haffner
Comparison fields: 5 of 127
  • Cancer Research 1.7k
  • Pulmonary and Respiratory Medicine 3.2k
  • Oncology 1.7k
  • Molecular Biology 3.1k
  • Immunology 676
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Countries citing papers authored by Michael C. Haffner

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Haffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Haffner. 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 Michael C. Haffner. The network helps show where Michael C. Haffner may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael C. Haffner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael C. Haffner Line = papers co-authored together Michael C. Haffner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010502
2 2013409
3 2011381
4
Genomic and phenotypic heterogeneity in prostate cancer
Hit paper breakdown →
2020380
5 2009374
6 2008244
7 2013223
8 2015214
9 2009203
10 2011173
11 2010156
12 2012151
13 2018136
14 2016134
15 2018134
16 2021115
17 2021108
18 201195
19 202395
20 201389

About Michael C. Haffner

Michael C. Haffner is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 154 papers that have together received 7.7k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (75 papers), Prostate Cancer Diagnosis and Treatment (29 papers), Epigenetics and DNA Methylation (18 papers), Cancer Genomics and Diagnostics (13 papers), Cancer-related gene regulation (11 papers), Cancer, Lipids, and Metabolism (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers) and PARP inhibition in cancer therapy (9 papers). The work is most often cited by research in Cancer Research (1.7k citations), Pulmonary and Respiratory Medicine (3.2k citations), Oncology (1.7k citations), Molecular Biology (3.1k citations) and Immunology (676 citations). Michael C. Haffner has collaborated with scholars based in United States, South Africa and Austria. Frequent co-authors include Srinivasan Yegnasubramanian, William G. Nelson, Angelo M. De Marzo, Alan Keith Meeker, David Esopi, William B. Isaacs, George Jabboure Netto, Jonathan I. Epstein, Antoun Toubaji and Jessica L Hicks. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Journal of Clinical Investigation, Nature Communications and Proceedings of the National Academy of Sciences.

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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