Padma Subramanyam

724 total citations
95 papers, 447 citations indexed

About

Padma Subramanyam is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Padma Subramanyam has authored 95 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 21 papers in Pulmonary and Respiratory Medicine and 18 papers in Oncology. Recurrent topics in Padma Subramanyam's work include Medical Imaging Techniques and Applications (9 papers), Medical Imaging and Pathology Studies (7 papers) and Thyroid Cancer Diagnosis and Treatment (7 papers). Padma Subramanyam is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Medical Imaging and Pathology Studies (7 papers) and Thyroid Cancer Diagnosis and Treatment (7 papers). Padma Subramanyam collaborates with scholars based in India, United States and Kuwait. Padma Subramanyam's co-authors include Shanmuga Sundaram Palaniswamy, S. Subramanian, R. Bhuvaneswari, E. Parimalasundar, K. Suresh, K Sasikala, Shantanu Pande, D. K. Vijaykumar, Satish Chandra Girimaji and Ali J. Chamkha and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Tropical Medicine and Hygiene and Journal of Thermal Analysis and Calorimetry.

In The Last Decade

Padma Subramanyam

85 papers receiving 421 citations

Peers

Padma Subramanyam
Comparison fields: 5 of 93
  • Surgery 157
  • Pulmonary and Respiratory Medicine 79
  • Radiology, Nuclear Medicine and Imaging 78
  • Oncology 75
  • Endocrinology, Diabetes and Metabolism 67
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Citations per field, relative to Padma Subramanyam
Padma Subramanyam · 1×
Citations per year, relative to Padma Subramanyam
Padma Subramanyam · 1×

Countries citing papers authored by Padma Subramanyam

Since Specialization
Citations

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

Fields of papers citing papers by Padma Subramanyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padma Subramanyam

This figure shows the co-authorship network connecting the top 25 collaborators of Padma Subramanyam. A scholar is included among the top collaborators of Padma Subramanyam 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 Padma Subramanyam. Padma Subramanyam 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
# Work Indexed citations
1 5
2 4
3 2
4 0
5
Determining an accurate method to estimate GFR in renal transplant recipients with stable serum creatinine levels
4
6 5
7 3
8 3
9 5
10 18
11
Rare association of schizophrenia and unilateral Graves’ disease with contralateral thyroid hemiagenesis in two cases of McCune-Albright syndrome
1
12 6
13
Unsuspected early necrotizing fasciitis identified by 18F-FDG PET imaging in a patient with acute myeloid leukemia
0
14
18 F FDG PET/CT identifies unsuspected bilateral adrenal histoplasmosis in an elderly immuno compromised patient
3
15 7
16
99mTc-MDP abdominal scintigraphy in a paediatric case of GI protein loss - A viable and simple alternate to HSA imaging
0
17 2
18 1
19 4
20 9

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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