Joanna D.C.C. Lima

63 total papers · 948 total citations
25 papers, 570 citations indexed

About

Joanna D.C.C. Lima is a scholar working on Physiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Joanna D.C.C. Lima has authored 25 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Joanna D.C.C. Lima's work include Nutrition and Health in Aging (13 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Joanna D.C.C. Lima is often cited by papers focused on Nutrition and Health in Aging (13 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Joanna D.C.C. Lima collaborates with scholars based in Brazil, United States and United Kingdom. Joanna D.C.C. Lima's co-authors include Marília Seelaender, José Pinhata Otoch, Paulo Sérgio Martins de Alcântara, Flávio Tokeshi, Estefanía Simoes, Emídio Marques de Matos‐Neto, Rodolfo Gonzalez Camargo, Raquel Galvão Figuerêdo, Michele Joana Alves and Katrin Radloff and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cancer Research.

In The Last Decade

Joanna D.C.C. Lima

24 papers receiving 565 citations

Author Peers

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

Author						Papers	Cites
Joanna D.C.C. Lima	356	259	111	93	72	25	570
Riccardo Ballarò	395 1.1×	400 1.5×	44 0.4×	75 0.8×	65 0.9×	16	559
Cibely Cristine Fontes de Oliveira	393 1.1×	452 1.7×	37 0.3×	48 0.5×	59 0.8×	18	667
Jiangling Dong	263 0.7×	294 1.1×	37 0.3×	38 0.4×	82 1.1×	18	515
Thomas Nicholson	154 0.4×	191 0.7×	104 0.9×	120 1.3×	116 1.6×	19	509
Jill A. Rahnert	169 0.5×	383 1.5×	116 1.0×	28 0.3×	47 0.7×	21	568
Aditi Narsale	385 1.1×	387 1.5×	40 0.4×	73 0.8×	38 0.5×	18	623
Bianca Hemmeryckx	167 0.5×	191 0.7×	48 0.4×	32 0.3×	88 1.2×	38	636
Nadine Wiper‐Bergeron	207 0.6×	488 1.9×	63 0.6×	33 0.4×	76 1.1×	25	656
Takeshi Ueha	118 0.3×	205 0.8×	149 1.3×	51 0.5×	77 1.1×	37	661
Holger Henneicke	144 0.4×	247 1.0×	43 0.4×	73 0.8×	63 0.9×	22	683

Countries citing papers authored by Joanna D.C.C. Lima

Since Specialization

Citations

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

Fields of papers citing papers by Joanna D.C.C. Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanna D.C.C. Lima. 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 Joanna D.C.C. Lima. The network helps show where Joanna D.C.C. Lima may publish in the future.

Co-authorship network of co-authors of Joanna D.C.C. Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna D.C.C. Lima. A scholar is included among the top collaborators of Joanna D.C.C. Lima 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 Joanna D.C.C. Lima. Joanna D.C.C. Lima 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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