Tana Wuliji

978 total citations · 1 hit paper
16 papers, 581 citations indexed

About

Tana Wuliji is a scholar working on Pediatrics, Perinatology and Child Health, Geriatrics and Gerontology and Emergency Medical Services. According to data from OpenAlex, Tana Wuliji has authored 16 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 6 papers in Geriatrics and Gerontology and 5 papers in Emergency Medical Services. Recurrent topics in Tana Wuliji's work include Pharmaceutical Practices and Patient Outcomes (6 papers), Global Maternal and Child Health (4 papers) and Patient Safety and Medication Errors (3 papers). Tana Wuliji is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (6 papers), Global Maternal and Child Health (4 papers) and Patient Safety and Medication Errors (3 papers). Tana Wuliji collaborates with scholars based in United Kingdom, United States and Netherlands. Tana Wuliji's co-authors include Ling Xu, K Diallo, Michelle McIsaac, Jane Campbell, Diane E. Beck, Claire Anderson, Tina Brock, Ian Bates, Joseph F. Naimoli and Diana Frymus and has published in prestigious journals such as BMC Health Services Research, American Journal of Health-System Pharmacy and Human Resources for Health.

In The Last Decade

Tana Wuliji

15 papers receiving 553 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gender equity in the health workforce: analysis of 104 countries

2019 256 citations Michelle McIsaac, Ling Xu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tana Wuliji United Kingdom	9	210	137	134	118	105	16	581
Nília Maria de Brito Lima Prado Brazil	12	190 0.9×	53 0.4×	67 0.5×	40 0.3×	40 0.4×	71	491
Anita Chary United States	17	243 1.2×	182 1.3×	26 0.2×	134 1.1×	26 0.2×	73	677
Robert Wells Australia	17	612 2.9×	187 1.4×	42 0.3×	53 0.4×	303 2.9×	33	970
F. H. Bradley United Kingdom	15	572 2.7×	185 1.4×	389 2.9×	59 0.5×	120 1.1×	53	1.1k
Marieke Kroezen Netherlands	13	528 2.5×	134 1.0×	42 0.3×	25 0.2×	186 1.8×	29	707
Gina Lamprell Australia	8	358 1.7×	110 0.8×	22 0.2×	47 0.4×	157 1.5×	9	685
Sarah Payne United Kingdom	11	133 0.6×	80 0.6×	51 0.4×	72 0.6×	17 0.2×	37	624
Zelalem Mengesha Australia	21	535 2.5×	222 1.6×	59 0.4×	453 3.8×	51 0.5×	31	1.2k
Alina Cernasev United States	12	189 0.9×	175 1.3×	123 0.9×	49 0.4×	36 0.3×	66	565
Donna J. Keyser United States	15	309 1.5×	115 0.8×	51 0.4×	24 0.2×	77 0.7×	47	711

Countries citing papers authored by Tana Wuliji

Since Specialization

Citations

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

Fields of papers citing papers by Tana Wuliji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tana Wuliji

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Mitchell, Sharon, John M. Hart, Muntaha Gharaibeh, et al.. (2025). Principles to award learning achievements for lifelong learning in health using micro-credentials: an international Delphi study. Human Resources for Health. 23(1). 7–7.

2.

Borg, Sarah, Manjulaa Narasimhan, & Tana Wuliji. (2022). Mobile learning to support health workers in pharmacies in expanding access to over-the-counter contraceptives: The World Health Organization Academy Learning Programme. Sexual and Reproductive Health Matters. 30(1). 2089084–2089084. 4 indexed citations

3.

McIsaac, Michelle, et al.. (2019). Gender equity in the health workforce: analysis of 104 countries. 256 indexed citations breakdown →

4.

Kozuki, Naoko & Tana Wuliji. (2018). Measuring productivity and its relationship to community health worker performance in Uganda: a cross-sectional study. BMC Health Services Research. 18(1). 340–340. 4 indexed citations

5.

Broughton, Edward, et al.. (2017). Assessment of a quality improvement intervention to strengthen pharmaceutical human resources and improve availability and use of HIV medicines in Uganda. BMJ Open Quality. 6(2). e000194–e000194. 1 indexed citations

6.

Duke, Jan, et al.. (2016). Strengthening health professions regulation in Cambodia: a rapid assessment. Human Resources for Health. 14(1). 9–9. 27 indexed citations

7.

Naimoli, Joseph F., et al.. (2014). A Community Health Worker “logic model”: towards a theory of enhanced performance in low- and middle-income countries. Human Resources for Health. 12(1). 56–56. 66 indexed citations

8.

Smith, Sarah A., Aarti Agarwal, Lauren Crigler, et al.. (2013). Community health volunteer program functionality and performance in Madagascar : a synthesis of qualitative and quantitative assessments. 14 indexed citations

9.

Holmström, Anna-Riia, et al.. (2012). National and Local Medication Error Reporting Systems—A Survey of Practices in 16 Countries. Journal of Patient Safety. 8(4). 165–176. 46 indexed citations

10.

Anderson, Claire, et al.. (2009). The WHO UNESCO FIP Pharmacy Education Taskforce. Human Resources for Health. 7(1). 45–45. 76 indexed citations

11.

Wuliji, Tana, et al.. (2009). Migration as a form of workforce attrition: a nine-country study of pharmacists. Human Resources for Health. 7(1). 32–32. 15 indexed citations

12.

Wuliji, Tana. (2009). Current status of human resources and training in hospital pharmacy. American Journal of Health-System Pharmacy. 66(5_Supplement_3). s56–s60. 10 indexed citations

13.

Anderson, Claire, et al.. (2008). The WHO UNESCO FIP Pharmacy Education Taskforce: Enabling Concerted and Collective Global Action. American Journal of Pharmaceutical Education. 72(6). 127–127. 5 indexed citations

14.

Anderson, Claire, et al.. (2008). The WHO UNESCO FIP Pharmacy Education Taskforce: Enabling Concerted and Collective Global Action. American Journal of Pharmaceutical Education. 72(6). 127–127. 55 indexed citations

15.

Laaksonen, Raisa, et al.. (2008). Medication Error Reporting Systems - Lessons Learnt: Executive Summary of the Findings. 1 indexed citations

16.

Gardarsdóttir, Helga, et al.. (2007). Academic mobility in pharmacy faculty: An exploratory study. Pharmacy Education. 7(2). 177–181. 1 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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