Ramona Moles

28 total papers · 570 total citations
17 papers, 391 citations indexed

About

Ramona Moles is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ramona Moles has authored 17 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 10 papers in Agronomy and Crop Science and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ramona Moles's work include T-cell and Retrovirus Studies (12 papers), Animal Disease Management and Epidemiology (10 papers) and Vector-Borne Animal Diseases (9 papers). Ramona Moles is often cited by papers focused on T-cell and Retrovirus Studies (12 papers), Animal Disease Management and Epidemiology (10 papers) and Vector-Borne Animal Diseases (9 papers). Ramona Moles collaborates with scholars based in United States, Italy and Australia. Ramona Moles's co-authors include Christophe Nicot, Chien‐Hung Yeh, Marcia Bellon, Xue Bai, Xuetao Bai, Genoveffa Franchini, Cynthia A. Pise-Masison, Georges Khoury, Lee Ratner and Joanna Pancewicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cancer and Journal of Hematology & Oncology.

In The Last Decade

Ramona Moles

16 papers receiving 388 citations

Author Peers

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

Author						Papers	Cites
Ramona Moles	228	148	143	78	78	17	391
Wei Zhong Leong	239 1.0×	92 0.6×	81 0.6×	21 0.3×	14 0.2×	13	363
D. J. Kessler	182 0.8×	142 1.0×	149 1.0×	56 0.7×	56 0.7×	9	363
Elizabeth Paine	77 0.3×	51 0.3×	181 1.3×	113 1.4×	118 1.5×	14	427
H Sawami	84 0.4×	17 0.1×	241 1.7×	90 1.2×	88 1.1×	10	354
K. Koshi	151 0.7×	139 0.9×	115 0.8×	7 0.1×	94 1.2×	23	443
K Kawamura	123 0.5×	30 0.2×	134 0.9×	14 0.2×	17 0.2×	23	333
Yoshihiro Tanabe	101 0.4×	53 0.4×	43 0.3×	18 0.2×	94 1.2×	19	423
Xin Guo	226 1.0×	39 0.3×	136 1.0×	80 1.0×	76 1.0×	18	418
Hongyan Gao	253 1.1×	205 1.4×	26 0.2×	25 0.3×	42 0.5×	16	386
Jung‐Ah Kang	175 0.8×	47 0.3×	188 1.3×	6 0.1×	11 0.1×	25	392

Countries citing papers authored by Ramona Moles

Since Specialization

Citations

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

Fields of papers citing papers by Ramona Moles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramona Moles

This figure shows the co-authorship network connecting the top 25 collaborators of Ramona Moles. A scholar is included among the top collaborators of Ramona Moles 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 Ramona Moles. Ramona Moles 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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