Robert Wappel

460 total citations
9 papers, 265 citations indexed

About

Robert Wappel is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Robert Wappel has authored 9 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Oncology. Recurrent topics in Robert Wappel's work include Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Genomics and Phylogenetic Studies (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). Robert Wappel is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Genomics and Phylogenetic Studies (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). Robert Wappel collaborates with scholars based in United States and India. Robert Wappel's co-authors include Scott A. Shell, Sarah Bacus, Patricia B. Trusk, Dominique R. Talbert, Diarmuid Moran, James Kramer, Arthur Brown, Sara Goodwin, Ljuba Lyass and Karen Pry and has published in prestigious journals such as Nucleic Acids Research, Genome Research and Toxicology and Applied Pharmacology.

In The Last Decade

Robert Wappel

9 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robert Wappel United States	6	166	78	75	48	39	9	265
Jon A. Oyer United States	9	350 2.1×	22 0.3×	48 0.6×	52 1.1×	19 0.5×	14	414
Jay Ji United States	6	180 1.1×	36 0.5×	162 2.2×	29 0.6×	22 0.6×	12	297
Emily Eugster United States	10	179 1.1×	22 0.3×	104 1.4×	67 1.4×	57 1.5×	16	339
Tim Kong United States	10	188 1.1×	14 0.2×	94 1.3×	41 0.9×	39 1.0×	24	357
Lillia Holmes United States	10	124 0.7×	13 0.2×	120 1.6×	51 1.1×	25 0.6×	15	368
Dimitris C. Kanellis Denmark	10	209 1.3×	14 0.2×	85 1.1×	88 1.8×	31 0.8×	14	323
Kar Tong Tan Singapore	8	214 1.3×	21 0.3×	41 0.5×	51 1.1×	9 0.2×	13	268
Kouichi Tokuda Japan	10	194 1.2×	22 0.3×	64 0.9×	69 1.4×	35 0.9×	18	340
Jeroen Overman Netherlands	9	250 1.5×	18 0.2×	66 0.9×	21 0.4×	16 0.4×	13	346
Erin Kaltenbrun United States	9	249 1.5×	24 0.3×	36 0.5×	28 0.6×	39 1.0×	13	350

Countries citing papers authored by Robert Wappel

Since Specialization

Citations

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

Fields of papers citing papers by Robert Wappel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Wappel

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Wappel. A scholar is included among the top collaborators of Robert Wappel 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 Robert Wappel. Robert Wappel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Badger, Jonathan H., Rosanna Giordano, Aleksey V. Zimin, et al.. (2023). Direct sequencing of insect symbionts via nanopore adaptive sampling. Current Opinion in Insect Science. 61. 101135–101135. 2 indexed citations

Baslan, Timour, Sam Kovaka, Fritz J. Sedlazeck, et al.. (2021). High resolution copy number inference in cancer using short-molecule nanopore sequencing. Nucleic Acids Research. 49(21). e124–e124. 13 indexed citations

Aganezov, Sergey, Sara Goodwin, Rachel M. Sherman, et al.. (2020). Comprehensive analysis of structural variants in breast cancer genomes using single-molecule sequencing. Genome Research. 30(9). 1258–1273. 61 indexed citations

Goodwin, Sara, Robert Wappel, & W. Richard McCombie. (2017). 1D Genome Sequencing on the Oxford Nanopore MinION. Current Protocols in Human Genetics. 94(1). 18.11.1–18.11.14. 6 indexed citations

Talbert, Dominique R., Robert Wappel, Diarmuid Moran, Scott A. Shell, & Sarah Bacus. (2013). The Role of Myc and the miR-17~92 Cluster in Histone Deacetylase Inhibitor Induced Apoptosis of Solid Tumors. Journal of Cancer Therapy. 4(4). 907–918. 5 indexed citations

Wappel, Robert, Dominique R. Talbert, Patricia B. Trusk, et al.. (2013). Multi-parameter in vitro toxicity testing of crizotinib, sunitinib, erlotinib, and nilotinib in human cardiomyocytes. Toxicology and Applied Pharmacology. 272(1). 245–255. 136 indexed citations

Shell, Scott A., Ljuba Lyass, Patricia B. Trusk, et al.. (2008). Activation of AMPK is necessary for killing cancer cells and sparing cardiac cells. Cell Cycle. 7(12). 1769–1775. 40 indexed citations

Shell, Scott A., Robert Wappel, Patricia B. Trusk, et al.. (2008). 78 POSTER Tyrosine kinase inhibitors, such as TAK-285, GW572016 or SU11248, protect or damage the heart based on their ability to activate AMPK. European Journal of Cancer Supplements. 6(12). 27–27. 1 indexed citations

Shell, Scott A., Karen Pry, Patricia B. Trusk, et al.. (2008). 313 POSTER Novel inhibitory mechanisms of TAK-285, a new EGFR/ErbB2 dual inhibitor. European Journal of Cancer Supplements. 6(12). 100–100. 1 indexed citations

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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