Gisela Unger

478 total citations
11 papers, 363 citations indexed

About

Gisela Unger is a scholar working on Physiology, Nephrology and Molecular Biology. According to data from OpenAlex, Gisela Unger has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Nephrology and 3 papers in Molecular Biology. Recurrent topics in Gisela Unger's work include Clinical Laboratory Practices and Quality Control (7 papers), Renal function and acid-base balance (3 papers) and Meta-analysis and systematic reviews (2 papers). Gisela Unger is often cited by papers focused on Clinical Laboratory Practices and Quality Control (7 papers), Renal function and acid-base balance (3 papers) and Meta-analysis and systematic reviews (2 papers). Gisela Unger collaborates with scholars based in Argentina. Gisela Unger's co-authors include Silvia Fabiana Benozzi and Graciela Laura Pennacchiotti and has published in prestigious journals such as Clinica Chimica Acta, Biochemia Medica and PubMed.

In The Last Decade

Gisela Unger

8 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gisela Unger Argentina	4	187	120	90	71	69	11	363
Silvia Fabiana Benozzi Argentina	5	193 1.0×	122 1.0×	93 1.0×	76 1.1×	69 1.0×	22	378
Graciela Laura Pennacchiotti Argentina	6	191 1.0×	124 1.0×	90 1.0×	83 1.2×	69 1.0×	25	419
Alonso Romo-Romo Mexico	8	273 1.5×	143 1.2×	99 1.1×	122 1.7×	86 1.2×	17	587
Jinxia Hu China	7	152 0.8×	133 1.1×	113 1.3×	97 1.4×	106 1.5×	10	398
Hitomi Fujii Japan	10	126 0.7×	61 0.5×	71 0.8×	61 0.9×	50 0.7×	21	340
Andrea Girola Italy	9	146 0.8×	164 1.4×	151 1.7×	120 1.7×	97 1.4×	10	454
Yo Hotta Japan	12	118 0.6×	192 1.6×	126 1.4×	168 2.4×	112 1.6×	17	514
Chulin Huang China	11	126 0.7×	116 1.0×	73 0.8×	60 0.8×	36 0.5×	32	399
Licheng Cheng China	7	144 0.8×	131 1.1×	114 1.3×	93 1.3×	115 1.7×	11	421
Bige Özkan United States	7	156 0.8×	82 0.7×	77 0.9×	72 1.0×	35 0.5×	14	349

Countries citing papers authored by Gisela Unger

Since Specialization

Citations

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

Fields of papers citing papers by Gisela Unger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gisela Unger

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

All Works

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11 of 11 papers shown

1.

Pennacchiotti, Graciela Laura, et al.. (2023). Coffee intake one hour prior to phlebotomy produces no clinically significant changes in routine biochemical test results. Biochemia Medica. 33(2). 165–172. 2 indexed citations

2.

Unger, Gisela, et al.. (2023). Evaluation of four quality indicators of the Pre-Analytical Phase External Quality Assessment Subprogram of the Fundación Bioquímica Argentina.. PubMed. 34(3). 203–212. 1 indexed citations

3.

Pennacchiotti, Graciela Laura, et al.. (2022). ingesta de un desayuno estandarizado no afecta la interpretación clínica de los análisis bioquímicos de rutina. 86(2). 30–35. 1 indexed citations

4.

Unger, Gisela, et al.. (2018). Preanalytical phase: Effects of water ingestion during fasting on routine hematological parameters in a small cohort of young women. Clinica Chimica Acta. 483. 126–129. 5 indexed citations

5.

Benozzi, Silvia Fabiana, et al.. (2017). Fasting conditions: Influence of water intake on clinical chemistry analytes. Biochemia Medica. 28(1). 10702–10702. 9 indexed citations

6.

Pennacchiotti, Graciela Laura, et al.. (2017). Calidad en la etapa preanalítica: evaluación de dos estrategias para verificar la correcta recogida de orina de 24 horas. Revista del Laboratorio Clínico. 11(2). 79–86. 1 indexed citations

7.

Unger, Gisela, et al.. (2017). Utilidad clínica del valor de referencia del cambio en la medición de creatinina plasmática. Revista del Laboratorio Clínico. 10(3). 123–128.

8.

Benozzi, Silvia Fabiana, Gisela Unger, & Graciela Laura Pennacchiotti. (2016). Calidad en la etapa preanalítica: importancia del ayuno. Acta bioquímica clínica latinoamericana. 50(4). 643–648.

9.

Unger, Gisela, et al.. (2014). Índice triglicéridos y glucosa: un indicador útil de insulinorresistencia. Endocrinología y Nutrición. 61(10). 533–540. 187 indexed citations

10.

Unger, Gisela, et al.. (2014). Evaluación del desempeño analítico de tres métodos de cuantificación de hemoglobina A1c. Redalyc (Universidad Autónoma del Estado de México). 48(2). 183–189.

11.

Unger, Gisela, et al.. (2014). Triglycerides and glucose index: A useful indicator of insulin resistance. Endocrinología y Nutrición (English Edition). 61(10). 533–540. 157 indexed citations

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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