Michael Hepperle

1.8k total citations
25 papers, 1.1k citations indexed

About

Michael Hepperle is a scholar working on Oncology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Michael Hepperle has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Organic Chemistry and 8 papers in Molecular Biology. Recurrent topics in Michael Hepperle's work include Cancer Treatment and Pharmacology (13 papers), Synthetic Organic Chemistry Methods (7 papers) and NF-κB Signaling Pathways (6 papers). Michael Hepperle is often cited by papers focused on Cancer Treatment and Pharmacology (13 papers), Synthetic Organic Chemistry Methods (7 papers) and NF-κB Signaling Pathways (6 papers). Michael Hepperle collaborates with scholars based in United States. Michael Hepperle's co-authors include Gunda I. Georg, Yajun Xu, Danyi Wen, Yuhua Nong, Lloyd T. Lam, Lenny Dang, Maria Hottelet, Julian Adams, R. Eric Davis and Louis M. Staudt and has published in prestigious journals such as Blood, Biochemistry and Clinical Cancer Research.

In The Last Decade

Michael Hepperle

25 papers receiving 1.1k citations

Peers

Michael Hepperle
Comparison fields: 5 of 75
  • Oncology 482
  • Molecular Biology 474
  • Cancer Research 333
  • Immunology 285
  • Pathology and Forensic Medicine 245
Replace Nehal J. Lakhani with:
Nehal J. Lakhani United States
Andrei V. Ougolkov United States
Kenneth Leslie United States
Ahmed A. Samatar United States
Lusong Luo China
Gretchen M. Unger United States
Jonas Cicenas Switzerland
Y.N. Vashisht Gopal United States
Mike F. Burbridge France
Doris R. Siwak United States
Nehal J. Lakhani United States View profile →
Citations per field, relative to Michael Hepperle
Michael Hepperle · 1×
Citations per year, relative to Michael Hepperle
Michael Hepperle · 1×

Countries citing papers authored by Michael Hepperle

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hepperle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hepperle

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hepperle. A scholar is included among the top collaborators of Michael Hepperle 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 Michael Hepperle. Michael Hepperle 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 7
2 19
3 12
4 101
5 39
6 69
7 63
8
Small molecule inhibitors of IkappaB kinase are selectively toxic for subgroups of diffuse large B-cell lymphoma defined by gene expression profiling.
252
9 187
10 18
11 73
12 22
13 35
14 12
15
Medicinal chemistry of paclitaxel: chemistry, structure-activity relationships and conformational analysis.
4
16 19
17 11
18 11
19 10
20 36

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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