Aruna Kumari

26 total papers · 504 total citations
10 papers, 336 citations indexed

About

Aruna Kumari is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Aruna Kumari has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Obstetrics and Gynecology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Oncology. Recurrent topics in Aruna Kumari's work include Maternal and Perinatal Health Interventions (3 papers), Gestational Diabetes Research and Management (2 papers) and Maternal and fetal healthcare (2 papers). Aruna Kumari is often cited by papers focused on Maternal and Perinatal Health Interventions (3 papers), Gestational Diabetes Research and Management (2 papers) and Maternal and fetal healthcare (2 papers). Aruna Kumari collaborates with scholars based in India, United Kingdom and United Arab Emirates. Aruna Kumari's co-authors include Padmanabhan Badrinath, Hans Grundsell, Neerja Bhatla, Oommen John, Vivekanand Jha, Balaji Gummidi, Meena Sehgal, Alka Kriplani, Reeta Mahey and Perumal Vanamail and has published in prestigious journals such as International Journal of Gynecology & Obstetrics, European Journal of Obstetrics & Gynecology and Reproductive Biology and Groundwater for Sustainable Development.

In The Last Decade

Aruna Kumari

10 papers receiving 321 citations

Author Peers

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

Author						Papers	Cites
Aruna Kumari	221	123	97	59	45	10	336
C. Fangyun Wu	133 0.6×	98 0.8×	33 0.3×	33 0.6×	66 1.5×	14	333
V. Robinson	88 0.4×	106 0.9×	35 0.4×	120 2.0×	37 0.8×	5	376
Anders Sundberg	62 0.3×	80 0.7×	44 0.5×	45 0.8×	21 0.5×	12	365
Dini Hui	237 1.1×	201 1.6×	26 0.3×	209 3.5×	25 0.6×	14	375
Christopher Goodier	106 0.5×	79 0.6×	72 0.7×	80 1.4×	27 0.6×	14	317
T. J. Benedetti	206 0.9×	191 1.6×	75 0.8×	73 1.2×	37 0.8×	9	378
Laurie Schumacher	130 0.6×	78 0.6×	64 0.7×	38 0.6×	46 1.0×	10	347
K Shaw	161 0.7×	120 1.0×	53 0.5×	77 1.3×	89 2.0×	15	324
M. G. Giovannitti	171 0.8×	151 1.2×	57 0.6×	64 1.1×	71 1.6×	6	394
Angela Calvi	49 0.2×	82 0.7×	39 0.4×	39 0.7×	51 1.1×	14	347

Countries citing papers authored by Aruna Kumari

Since Specialization

Citations

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

Fields of papers citing papers by Aruna Kumari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruna Kumari

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