J. Ramanathan

454 total citations
22 papers, 307 citations indexed

About

J. Ramanathan is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Genetics. According to data from OpenAlex, J. Ramanathan has authored 22 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 8 papers in Obstetrics and Gynecology and 4 papers in Genetics. Recurrent topics in J. Ramanathan's work include Pregnancy and preeclampsia studies (8 papers), Anesthesia and Pain Management (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). J. Ramanathan is often cited by papers focused on Pregnancy and preeclampsia studies (8 papers), Anesthesia and Pain Management (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). J. Ramanathan collaborates with scholars based in United States and India. J. Ramanathan's co-authors include B. M. Sibai, Chandra Viswanathan, M B Agarwal, R.R. Puniyani, BM Sibai, John J. Angel, Baha M. Sibai, Madhu Agrawal, Michael B. Bottorff and Azmi Mohd Shariff and has published in prestigious journals such as Anesthesiology, Anesthesia & Analgesia and British Journal of Haematology.

In The Last Decade

J. Ramanathan

21 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ramanathan United States 8 144 136 100 66 63 22 307
M Borghi Italy 5 24 0.2× 45 0.3× 28 0.3× 49 0.7× 131 2.1× 9 409
G. Aya France 8 13 0.1× 39 0.3× 55 0.6× 77 1.2× 113 1.8× 14 272
B. B. K. Pirani United Kingdom 7 24 0.2× 27 0.2× 153 1.5× 42 0.6× 34 0.5× 10 329
Bülent Özgönenel United States 8 38 0.3× 75 0.6× 27 0.3× 72 1.1× 33 0.5× 19 251
P N Yu China 11 48 0.3× 40 0.3× 7 0.1× 87 1.3× 113 1.8× 21 339
Chris Brown United Kingdom 6 99 0.7× 194 1.4× 13 0.1× 22 0.3× 25 0.4× 12 319
Mustafa Soran Türkiye 9 12 0.1× 23 0.2× 125 1.3× 36 0.5× 24 0.4× 26 295
Marvin Sinsakul United States 9 28 0.2× 67 0.5× 43 0.4× 41 0.6× 26 0.4× 18 322
Yavuz Yeniçerioğlu Türkiye 11 19 0.1× 42 0.3× 14 0.1× 60 0.9× 55 0.9× 28 331
Robert Mushnick United States 8 81 0.6× 142 1.0× 20 0.2× 83 1.3× 19 0.3× 8 404

Countries citing papers authored by J. Ramanathan

Since Specialization
Citations

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

Fields of papers citing papers by J. Ramanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ramanathan

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

All Works

20 of 20 papers shown
1.
Agrawal, Madhu, et al.. (2024). Evaluating the effectiveness of AI-powered UrologiQ’s in accurately measuring kidney stone volume in urolithiasis patients. Urolithiasis. 52(1). 158–158. 3 indexed citations
2.
Shariff, Azmi Mohd, et al.. (2024). UrologiQ: AI-based accurate detection, measurement and reporting of stones in CT-KUB scans. Urolithiasis. 52(1). 170–170. 1 indexed citations
3.
Ramanathan, J., et al.. (2014). Anesthetic considerations in a parturient with Oral-Facial-Digital syndrome and repaired tetralogy of Fallot with left ventricular dysfunction. International Journal of Obstetric Anesthesia. 23(2). 182–185. 1 indexed citations
4.
Ramanathan, J.. (2001). Combined spinal and epidural anesthesia with low doses of intrathecal bupivacaine in women with severe preeclampsia: A preliminary report. Regional Anesthesia & Pain Medicine. 26(1). 46–51. 32 indexed citations
5.
Ramanathan, J., et al.. (1995). Fiberoptic intubation using intraoral glossopharyngeal nerve block in a patient with severe preeclampsia and HELLP syndrome. International Journal of Obstetric Anesthesia. 4(3). 168–171. 6 indexed citations
6.
Agarwal, M B, et al.. (1993). DEATHS IN PATIENTS RECEIVING ORAL IRON CHELATOR L1. British Journal of Haematology. 85(2). 430–430. 4 indexed citations
7.
Agarwal, M B, et al.. (1992). Long‐term assessment of efficacy and safety of L1, an oral iron chelator, in transfusion dependent thalassaemia: Indian trial. British Journal of Haematology. 82(2). 460–466. 134 indexed citations
8.
Ramanathan, J., et al.. (1992). COMPARISON OF INTRATHECAL METILADONE AND FENTANYL FOR LABOR ANALGESIA. Anesthesiology. 77(Supplement). A993–A993. 1 indexed citations
9.
Ramanathan, J.. (1992). Pathophysiology and anesthetic implications in preeclampsia.. PubMed. 35(2). 414–25. 5 indexed citations
10.
Viswanathan, Chitra, et al.. (1991). Efficacy and safety of 1-2, dimethyl-3-hydroxypyrid-4-one (L1) as an oral iron chelator in patients of beta thalassaemia major with iron overload.. PubMed. 39(9). 669–72. 11 indexed citations
11.
Ramanathan, J., et al.. (1990). Correlation Between Bleeding Times and Platelet Counts in Women With Preeclampsia Undergoing Cesarean Section. Obstetric Anesthesia Digest. 10(1). 16–16. 3 indexed citations
12.
Ramanathan, J., et al.. (1989). Correlation between Bleeding Times and Platelet Counts in Women with Preeclampsia Undergoing Cesarean Section. Anesthesiology. 71(2). 188–191. 47 indexed citations
13.
Ramanathan, J., et al.. (1988). Correlation between bleeding times and platelet counts in preeclamptic women undergoing cesarean section. Anesthesiology. 69(3A). A694–A694. 1 indexed citations
14.
Ramanathan, J., et al.. (1988). THE USE OF LABETALOL FOR ATTENUATION OF HYPERTENSIVE RESPONSE TO ENDOTRACHEAL INTUBATION IN PREECLAMPSIA. Anesthesia & Analgesia. 67(Supplement). 181–181. 9 indexed citations
15.
Ramanathan, J., et al.. (1988). Anesthetic Management of the Syndrome of Hemolysis, Elevated Liver Enzymes, and Low Platelet Count (HELLP) in Severe Preeclampsia. Obstetric Anesthesia Digest. 8(3). 105–105. 3 indexed citations
16.
Ramanathan, J., et al.. (1988). Pulmonary function in preeclamptic women receiving MgSO4.. PubMed. 33(5). 432–5. 17 indexed citations
17.
Bottorff, Michael B., et al.. (1987). Lidocaine protein binding in preeclampsia. European Journal of Clinical Pharmacology. 31(6). 719–722. 1 indexed citations
18.
Ramanathan, J., et al.. (1987). NEUROMUSCULAR TRANSMISSION STUDIES IN PREECLAMPTIC WOMEN RECEIVING MAGNESIUM SULFATE. Anesthesiology. 67(3). A633–A633. 2 indexed citations
19.
Ramanathan, J., et al.. (1986). The Pharmacokinetics and Maternal and Neonatal Effects of Epidural Lidocaine in Preeclampsia. Obstetric Anesthesia Digest. 6(3). 251–251. 6 indexed citations
20.
Ramanathan, J., et al.. (1958). Studies on the hypoglycemic and pharmacological actions of some stilbenes.. PubMed. 12(2). 85–9. 9 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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