U. L. Malanda

515 total citations
7 papers, 332 citations indexed

About

U. L. Malanda is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, U. L. Malanda has authored 7 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Epidemiology and 1 paper in Critical Care and Intensive Care Medicine. Recurrent topics in U. L. Malanda's work include Diabetes Management and Education (5 papers), Diabetes Management and Research (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). U. L. Malanda is often cited by papers focused on Diabetes Management and Education (5 papers), Diabetes Management and Research (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). U. L. Malanda collaborates with scholars based in Netherlands, United Kingdom and Norway. U. L. Malanda's co-authors include Sandra D.M. Bot, Giel Nijpels, Joost Dekker, Laura M.C. Welschen, Ingrid I. Riphagen, Piet J. Kostense, J. P. H. Reulen, Frank J. Snoek, Wim H. M. Saris and Wouter D. van Marken Lichtenbelt and has published in prestigious journals such as Diabetes Care, Cochrane Database of Systematic Reviews and European Journal of Applied Physiology.

In The Last Decade

U. L. Malanda

7 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
U. L. Malanda Netherlands	6	250	68	58	31	29	7	332
Maureen Clement Canada	10	290 1.2×	54 0.8×	69 1.2×	35 1.1×	34 1.2×	15	379
Sara Artola Spain	12	217 0.9×	36 0.5×	69 1.2×	22 0.7×	29 1.0×	28	330
Clyde Watkins United States	4	243 1.0×	81 1.2×	78 1.3×	14 0.5×	11 0.4×	5	313
W. Altman United States	4	220 0.9×	52 0.8×	82 1.4×	29 0.9×	28 1.0×	6	345
Jorge F. Elgart Argentina	12	225 0.9×	37 0.5×	72 1.2×	25 0.8×	13 0.4×	47	323
Eberta Tan Singapore	8	132 0.5×	66 1.0×	33 0.6×	10 0.3×	20 0.7×	13	246
Flora López‐Simarro Spain	11	249 1.0×	30 0.4×	84 1.4×	12 0.4×	27 0.9×	23	388
Jennal Johnson United States	11	316 1.3×	45 0.7×	33 0.6×	71 2.3×	35 1.2×	28	418
Petch Rawdaree Thailand	14	250 1.0×	32 0.5×	80 1.4×	22 0.7×	17 0.6×	37	413
Bjørn Gjelsvik Norway	9	145 0.6×	55 0.8×	53 0.9×	31 1.0×	16 0.6×	25	240

Countries citing papers authored by U. L. Malanda

Since Specialization

Citations

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

Fields of papers citing papers by U. L. Malanda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. L. Malanda. 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 U. L. Malanda. The network helps show where U. L. Malanda may publish in the future.

Co-authorship network of co-authors of U. L. Malanda

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

All Works

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7 of 7 papers shown

1.

Malanda, U. L., Sandra D.M. Bot, Piet J. Kostense, et al.. (2015). Effects of self‐monitoring of glucose on distress and self‐efficacy in people with non‐insulin‐treated Type 2 diabetes: a randomized controlled trial. Diabetic Medicine. 33(4). 537–546. 9 indexed citations

2.

Plüddemann, Annette, Emma Wallace, Clare Bankhead, et al.. (2014). Clinical prediction rules in practice: review of clinical guidelines and survey of GPs. British Journal of General Practice. 64(621). e233–e242. 31 indexed citations

3.

Malanda, U. L., Sandra D.M. Bot, & Giel Nijpels. (2012). Self-Monitoring of Blood Glucose in Noninsulin-Using Type 2 Diabetic Patients. Diabetes Care. 36(1). 176–178. 48 indexed citations

4.

Malanda, U. L., Laura M.C. Welschen, Ingrid I. Riphagen, et al.. (2012). Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin. Cochrane Database of Systematic Reviews. 2012(5). CD005060–CD005060. 218 indexed citations

5.

Malanda, U. L., Sandra D.M. Bot, David French, et al.. (2011). Experience of hypoglycaemia is associated with changes in beliefs about diabetes in patients with Type 2 diabetes. Diabetic Medicine. 28(11). 1395–1400. 4 indexed citations

6.

Malanda, U. L., Sandra D.M. Bot, Piet J. Kostense, et al.. (2009). Effects of self-monitoring of glucose in non-insulin treated patients with type 2 diabetes: design of the IN CONTROL-trial. BMC Family Practice. 10(1). 26–26. 11 indexed citations

7.

Malanda, U. L., J. P. H. Reulen, Wim H. M. Saris, & Wouter D. van Marken Lichtenbelt. (2008). Hypoxia induces no change in cutaneous thresholds for warmth and cold sensation. European Journal of Applied Physiology. 104(2). 375–381. 11 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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