John R. Megill

14 total papers · 471 total citations
11 papers, 351 citations indexed

About

John R. Megill is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics. According to data from OpenAlex, John R. Megill has authored 11 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Computational Theory and Mathematics. Recurrent topics in John R. Megill's work include Computational Drug Discovery Methods (2 papers), Immunotoxicology and immune responses (1 paper) and Crystallization and Solubility Studies (1 paper). John R. Megill is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Immunotoxicology and immune responses (1 paper) and Crystallization and Solubility Studies (1 paper). John R. Megill collaborates with scholars based in United States, Sweden and Germany. John R. Megill's co-authors include Stephen K. Durham, Doris A. Wall, Paul Stetsko, Julita Timoszyk, Ronald L. Smith, Karen Brown, Stephen Kalinowski, Kasim A. Mookhtiar, Thomas E. Steinbacher and William A. Schumacher and has published in prestigious journals such as Blood, The Journal of Comparative Neurology and Diabetes.

In The Last Decade

John R. Megill

10 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
John R. Megill	143	111	96	58	51	11	351
Sheng Yan	138 1.0×	44 0.4×	90 0.9×	35 0.6×	16 0.3×	12	346
Nathan Ezov	73 0.5×	42 0.4×	66 0.7×	43 0.7×	34 0.7×	20	392
Argyris Dritselis	151 1.1×	38 0.3×	70 0.7×	20 0.3×	10 0.2×	8	385
Paolo Alberti	64 0.4×	31 0.3×	72 0.8×	50 0.9×	31 0.6×	15	334
Nathaniel Bloodworth	167 1.2×	77 0.7×	89 0.9×	26 0.4×	10 0.2×	13	367
Muhammad Zaeem	211 1.5×	30 0.3×	51 0.5×	11 0.2×	47 0.9×	10	357
Bert-Inge Rosengren	144 1.0×	69 0.6×	83 0.9×	53 0.9×	4 0.1×	13	346
Sabina Jeleń	237 1.7×	85 0.8×	60 0.6×	43 0.7×	3 0.1×	12	341
L Botta	44 0.3×	43 0.4×	27 0.3×	118 2.0×	33 0.6×	10	344
Holli Shumaker	215 1.5×	137 1.2×	80 0.8×	28 0.5×	8 0.2×	8	335

Countries citing papers authored by John R. Megill

Since Specialization

Citations

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

Fields of papers citing papers by John R. Megill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Megill. 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 John R. Megill. The network helps show where John R. Megill may publish in the future.

Co-authorship network of co-authors of John R. Megill

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Megill. A scholar is included among the top collaborators of John R. Megill 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 John R. Megill. John R. Megill 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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