Tonya Hongsermeier

50 total papers · 1.1k total citations
28 papers, 448 citations indexed

About

Tonya Hongsermeier is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Tonya Hongsermeier has authored 28 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health Information Management, 14 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Tonya Hongsermeier's work include Electronic Health Records Systems (16 papers), Biomedical Text Mining and Ontologies (14 papers) and Semantic Web and Ontologies (6 papers). Tonya Hongsermeier is often cited by papers focused on Electronic Health Records Systems (16 papers), Biomedical Text Mining and Ontologies (14 papers) and Semantic Web and Ontologies (6 papers). Tonya Hongsermeier collaborates with scholars based in United States and India. Tonya Hongsermeier's co-authors include Blackford Middleton, Adam Wright, Howard Goldberg, Susie Stephens, Eric Neumann, Iván Herman, Vipul Kashyap, Bruce R. Bistrian, David W. Bates and Dean F. Sittig and has published in prestigious journals such as Scientific American, Journal of the American Medical Informatics Association and Journal of Parenteral and Enteral Nutrition.

In The Last Decade

Tonya Hongsermeier

27 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Tonya Hongsermeier	212	148	107	60	56	28	448
Birgit Brigl	243 1.1×	71 0.5×	61 0.6×	64 1.1×	69 1.2×	27	447
Daniel Essin	205 1.0×	165 1.1×	160 1.5×	36 0.6×	70 1.3×	18	462
Josef Ingenerf	179 0.8×	188 1.3×	129 1.2×	48 0.8×	58 1.0×	67	514
Beatriz H. Rocha	241 1.1×	120 0.8×	69 0.6×	71 1.2×	19 0.3×	22	427
Jeffrey G. Klann	232 1.1×	112 0.8×	205 1.9×	50 0.8×	41 0.7×	34	530
Charles N. Mead	264 1.2×	270 1.8×	141 1.3×	50 0.8×	39 0.7×	24	528
Linas Simonaitis	278 1.3×	124 0.8×	63 0.6×	74 1.2×	24 0.4×	19	436
S. Sengupta	198 0.9×	81 0.5×	90 0.8×	129 2.1×	53 0.9×	19	537
James C. McClay	202 1.0×	119 0.8×	87 0.8×	103 1.7×	18 0.3×	41	549
Dongwen Wang	192 0.9×	166 1.1×	127 1.2×	56 0.9×	54 1.0×	23	404

Countries citing papers authored by Tonya Hongsermeier

Since Specialization

Citations

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

Fields of papers citing papers by Tonya Hongsermeier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonya Hongsermeier

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact