Christina Lima

8 total papers · 463 total citations
7 papers, 344 citations indexed

About

Christina Lima is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Christina Lima has authored 7 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Physiology. Recurrent topics in Christina Lima's work include Diabetic Foot Ulcer Assessment and Management (3 papers), Effects of Vibration on Health (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). Christina Lima is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (3 papers), Effects of Vibration on Health (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). Christina Lima collaborates with scholars based in United States, Brazil and Mexico. Christina Lima's co-authors include Aristidis Veves, Lalita Khaodhiar, John M. Giurini, Thanh Dinh, Robert L. Greenman, James B. Niemi, Jason D. Harry, Svetlana V. Panasyuk, Thomas E. Lyons and Kevin T. Schomacker and has published in prestigious journals such as Applied and Environmental Microbiology, Diabetes Care and Journal of Vascular Surgery.

In The Last Decade

Christina Lima

7 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Christina Lima	160	94	71	69	59	7	344
Clare Y.L. Chao	190 1.2×	56 0.6×	76 1.1×	118 1.7×	57 1.0×	8	381
Paula Gadeberg	91 0.6×	23 0.2×	60 0.8×	38 0.6×	48 0.8×	7	347
Sharon K. DeMuth	58 0.4×	55 0.6×	37 0.5×	171 2.5×	17 0.3×	9	371
Cristiana Vermigli	172 1.1×	21 0.2×	23 0.3×	140 2.0×	21 0.4×	14	326
Roberto Capra	27 0.2×	67 0.7×	40 0.6×	14 0.2×	72 1.2×	7	363
J. W. G. Meijer	223 1.4×	30 0.3×	14 0.2×	107 1.6×	16 0.3×	7	394
Stefano Allasia	40 0.3×	9 0.1×	145 2.0×	34 0.5×	42 0.7×	8	335
Michelle Kan	40 0.3×	13 0.1×	26 0.4×	29 0.4×	97 1.6×	9	337
Nicola Cimini	57 0.4×	17 0.2×	63 0.9×	59 0.9×	6 0.1×	10	366
Martin Ålund	61 0.4×	5 0.1×	28 0.4×	34 0.5×	61 1.0×	13	355

Countries citing papers authored by Christina Lima

Since Specialization

Citations

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

Fields of papers citing papers by Christina Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Lima

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