Ann Tomanek‐Chalkley

30 total papers · 611 total citations
22 papers, 453 citations indexed

About

Ann Tomanek‐Chalkley is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Ann Tomanek‐Chalkley has authored 22 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Ann Tomanek‐Chalkley's work include Pancreatic and Hepatic Oncology Research (4 papers), Pluripotent Stem Cells Research (4 papers) and Renal cell carcinoma treatment (2 papers). Ann Tomanek‐Chalkley is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Pluripotent Stem Cells Research (4 papers) and Renal cell carcinoma treatment (2 papers). Ann Tomanek‐Chalkley collaborates with scholars based in United States, Italy and Germany. Ann Tomanek‐Chalkley's co-authors include Jackie R. Bickenbach, Martine Dunnwald, Justin Fishbaugh, Lyse A. Norian, Tamara A. Kucaba, Thomas S. Griffith, Britnie R. James, Eric J. Askeland, Sathivel Chinnathambi and Carlos H.F. Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ann Tomanek‐Chalkley

22 papers receiving 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ann Tomanek‐Chalkley	184	123	82	71	68	22	453
Cheng‐Cheng Deng	213 1.2×	78 0.6×	73 0.9×	100 1.4×	20 0.3×	19	481
Hristina Obradović	168 0.9×	81 0.7×	83 1.0×	28 0.4×	50 0.7×	26	506
Lauren V. Graham	124 0.7×	41 0.3×	79 1.0×	96 1.4×	32 0.5×	17	452
Iordanka A. Ivanova	263 1.4×	128 1.0×	51 0.6×	82 1.2×	27 0.4×	21	492
Takenao Chino	166 0.9×	61 0.5×	72 0.9×	155 2.2×	40 0.6×	21	494
Alexandra Charruyer	252 1.4×	42 0.3×	100 1.2×	68 1.0×	23 0.3×	17	482
Merdan Serin	223 1.2×	189 1.5×	49 0.6×	32 0.5×	22 0.3×	35	445
Sarah Maria Rudman	169 0.9×	193 1.6×	186 2.3×	57 0.8×	65 1.0×	21	539
Haiyan Weng	282 1.5×	82 0.7×	50 0.6×	40 0.6×	16 0.2×	24	478
W. Nürnberg	208 1.1×	53 0.4×	175 2.1×	79 1.1×	57 0.8×	27	537

Countries citing papers authored by Ann Tomanek‐Chalkley

Since Specialization

Citations

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

Fields of papers citing papers by Ann Tomanek‐Chalkley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Tomanek‐Chalkley. 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 Ann Tomanek‐Chalkley. The network helps show where Ann Tomanek‐Chalkley may publish in the future.

Co-authorship network of co-authors of Ann Tomanek‐Chalkley

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

All Works

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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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