Poonam Sansanwal

23 total papers · 4.7k total citations
11 papers, 413 citations indexed

About

Poonam Sansanwal is a scholar working on Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Poonam Sansanwal has authored 11 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Pediatrics, Perinatology and Child Health and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Poonam Sansanwal's work include Biomedical Research and Pathophysiology (7 papers), Neonatal Health and Biochemistry (6 papers) and Methemoglobinemia and Tumor Lysis Syndrome (3 papers). Poonam Sansanwal is often cited by papers focused on Biomedical Research and Pathophysiology (7 papers), Neonatal Health and Biochemistry (6 papers) and Methemoglobinemia and Tumor Lysis Syndrome (3 papers). Poonam Sansanwal collaborates with scholars based in United States, India and China. Poonam Sansanwal's co-authors include Minnie Sarwal, Li Li, Lihua Ying, Szu‐Chuan Hsieh, Maarten Naesens, Tara K. Sigdel, Neeraja Kambham, William A. Gahl, Lee‐Jun C. Wong and Yewei Ma and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Society of Nephrology and eLife.

In The Last Decade

Poonam Sansanwal

10 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
Poonam Sansanwal	139	127	105	84	84	11	413
R Ettenger	188 1.4×	37 0.3×	44 0.4×	121 1.4×	65 0.8×	12	397
Neil Lyman	60 0.4×	69 0.5×	52 0.5×	67 0.8×	69 0.8×	11	385
Carla Q. Feitoza	27 0.2×	82 0.6×	28 0.3×	125 1.5×	62 0.7×	14	451
Alessandra Dalla Gassa	36 0.3×	99 0.8×	29 0.3×	39 0.5×	52 0.6×	14	415
Hee Jong Ahn	109 0.8×	82 0.6×	23 0.2×	125 1.5×	35 0.4×	13	466
Carolina Moore	71 0.5×	58 0.5×	32 0.3×	199 2.4×	113 1.3×	14	434
Kumiko Nishihara	25 0.2×	129 1.0×	89 0.8×	41 0.5×	17 0.2×	8	451
Romeo García-Torres	56 0.4×	29 0.2×	45 0.4×	89 1.1×	21 0.3×	9	458
Manuela Ghielli	50 0.4×	68 0.5×	15 0.1×	139 1.7×	123 1.5×	8	474
Cristian González‐Guerrero	35 0.3×	36 0.3×	41 0.4×	65 0.8×	65 0.8×	13	376

Countries citing papers authored by Poonam Sansanwal

Since Specialization

Citations

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

Fields of papers citing papers by Poonam Sansanwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Sansanwal

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