G. Padmanaban

69 papers receiving 1.5k citations

Peers

G. Padmanaban
Comparison fields: 5 of 101
  • Polymers and Plastics 340
  • Pharmacology 122
  • Electrical and Electronic Engineering 496
  • Molecular Biology 571
  • Clinical Biochemistry 56
Replace Yoshio Nishimura with:
Yoshio Nishimura Japan
Enzio Ragg Italy
Qiu‐Tian Li Singapore
Meilan Huang United Kingdom
Charles R. Dawson United States
K. Wallenfels Germany
Heinrich Trischmann Germany
Xiaoming Yu China
Xinan Huang China
Stefano Ferri Japan
G. Padmanaban relative to Yoshio Nishimura Japan Yoshio Nishimura's profile →
Citations per field
00.5×4.8×
Yoshio Nishimura · 1×
Citations per year

Countries citing papers authored by G. Padmanaban

Since Specialization
Citations

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

Fields of papers citing papers by G. Padmanaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Padmanaban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Padmanaban Line = papers co-authored together G. Padmanaban links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000176
2 2001105
3 200471
4 200267
5 200562
6 200060
7 196557
8 200248
9 198548
10 197039
11 197538
12 200537
13 200335
14 197232
15 197429
16 196629
17 197427
18 198826
19 197526
20 197126

About G. Padmanaban

G. Padmanaban is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Plant Science, Polymers and Plastics and Cell Biology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (24 papers), Heme Oxygenase-1 and Carbon Monoxide (12 papers), Conducting polymers and applications (11 papers), Organic Electronics and Photovoltaics (11 papers), Hemoglobin structure and function (10 papers), Folate and B Vitamins Research (7 papers), Metabolism and Genetic Disorders (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Polymers and Plastics (340 citations), Pharmacology (122 citations), Electrical and Electronic Engineering (496 citations), Molecular Biology (571 citations) and Clinical Biochemistry (56 citations). G. Padmanaban has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include S. Ramakrishnan, P.S. Sarma, J. Lakshmanan, John R. Reynolds, K. N. Subramanian, Pundi N. Rangarajan, H. Ravishankar, C. Rajamanickam, Nisha Ananthakrishnan and Manchanahalli R. Satyanarayana Rao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Journal of Neurochemistry and Phytochemistry.

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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