Siva Subramanian

24 total papers · 608 total citations
14 papers, 452 citations indexed

About

Siva Subramanian is a scholar working on Public Health, Environmental and Occupational Health, Surgery and General Health Professions. According to data from OpenAlex, Siva Subramanian has authored 14 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 2 papers in Surgery and 2 papers in General Health Professions. Recurrent topics in Siva Subramanian's work include Maternal Mental Health During Pregnancy and Postpartum (3 papers), Family Dynamics and Relationships (2 papers) and Child Abuse and Trauma (2 papers). Siva Subramanian is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (3 papers), Family Dynamics and Relationships (2 papers) and Child Abuse and Trauma (2 papers). Siva Subramanian collaborates with scholars based in United States, India and United Kingdom. Siva Subramanian's co-authors include Allan A Johnson, Jill G. Joseph, Michele Kiely, Ayman El-Mohandes, M. Nabil El‐Khorazaty, Marie G. Gantz, Susan Blake, Kathy Katz, Yulia H. Walter and James F. McLeod and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Public Health and Obstetrics and Gynecology.

In The Last Decade

Siva Subramanian

13 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Siva Subramanian	151	129	95	91	82	14	452
Junko Minai	141 0.9×	164 1.3×	44 0.5×	88 1.0×	110 1.3×	16	536
Michel Boutsen	139 0.9×	97 0.8×	56 0.6×	117 1.3×	24 0.3×	10	541
Pyone Cho	109 0.7×	108 0.8×	28 0.3×	39 0.4×	46 0.6×	14	428
Susan Casey	68 0.5×	170 1.3×	93 1.0×	130 1.4×	63 0.8×	14	433
Ximena Urrutia‐Rojas	163 1.1×	137 1.1×	103 1.1×	52 0.6×	29 0.4×	18	446
Judith Ibison	173 1.1×	185 1.4×	57 0.6×	103 1.1×	31 0.4×	24	544
Michael Gliksman	179 1.2×	144 1.1×	31 0.3×	111 1.2×	144 1.8×	18	515
Margarita Kay	85 0.6×	125 1.0×	123 1.3×	41 0.5×	44 0.5×	19	474
Barnabas Natamba	170 1.1×	124 1.0×	85 0.9×	119 1.3×	25 0.3×	24	529
O. G. Eiben	207 1.4×	94 0.7×	37 0.4×	84 0.9×	24 0.3×	8	520

Countries citing papers authored by Siva Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by Siva Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siva Subramanian

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