Tsi Njim

80 total papers · 1.3k total citations
55 papers, 774 citations indexed

About

Tsi Njim is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Obstetrics and Gynecology. According to data from OpenAlex, Tsi Njim has authored 55 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pediatrics, Perinatology and Child Health, 15 papers in General Health Professions and 12 papers in Obstetrics and Gynecology. Recurrent topics in Tsi Njim's work include Global Maternal and Child Health (14 papers), Healthcare professionals’ stress and burnout (8 papers) and Maternal and Perinatal Health Interventions (8 papers). Tsi Njim is often cited by papers focused on Global Maternal and Child Health (14 papers), Healthcare professionals’ stress and burnout (8 papers) and Maternal and Perinatal Health Interventions (8 papers). Tsi Njim collaborates with scholars based in Cameroon, United Kingdom and Australia. Tsi Njim's co-authors include Valirie Ndip Agbor, Clarence Mbanga, Léopold Ndemnge Aminde, Julius Atashili, Maxime Tindong, Robinson Enow Mbu, Noah Fongwen, Calypse Ngwasiri, Frank-Leonel Tianyi and Siméon Pierre Choukem and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and BMJ Open.

In The Last Decade

Tsi Njim

52 papers receiving 748 citations

Author Peers

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

Author						Papers	Cites
Tsi Njim	236	174	122	108	103	55	774
Matthew E. Borrego	241 1.0×	138 0.8×	110 0.9×	68 0.6×	177 1.7×	54	869
Dessie Abebaw Angaw	198 0.8×	202 1.2×	119 1.0×	143 1.3×	150 1.5×	69	843
Tadesse Tolossa	156 0.7×	128 0.7×	145 1.2×	133 1.2×	140 1.4×	73	872
Indiran Govender	310 1.3×	108 0.6×	107 0.9×	57 0.5×	149 1.4×	108	709
Getahun Fetensa	129 0.5×	112 0.6×	113 0.9×	100 0.9×	127 1.2×	61	654
Elaine M. Hockman	164 0.7×	211 1.2×	172 1.4×	45 0.4×	108 1.0×	31	886
Qin Liu	124 0.5×	168 1.0×	118 1.0×	51 0.5×	194 1.9×	40	836
Edward Mezones‐Holguín	137 0.6×	106 0.6×	92 0.8×	95 0.9×	164 1.6×	77	866
Ai Theng Cheong	183 0.8×	56 0.3×	119 1.0×	79 0.7×	111 1.1×	76	696
Agani Afaya	170 0.7×	309 1.8×	171 1.4×	55 0.5×	180 1.7×	68	732

Countries citing papers authored by Tsi Njim

Since Specialization

Citations

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

Fields of papers citing papers by Tsi Njim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsi Njim

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