Manjula Chaddha
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Immunology top 10%
- Cancer Research top 5%
- Co-authors
- G.M. AnantharamaiahMohamad NavabAlan M. FogelmanSusan HamaDavid W. GarberGeeta DattaMayakonda N. PalgunachariSrinivasa T. Reddy
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Cholesterol and Lipid Metabolism (8 papers)Lipoproteins and Cardiovascular Health (6 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Manjula Chaddha
28 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Surgery 1.0k
- Endocrinology, Diabetes and Metabolism 740
- Molecular Biology 639
- Immunology 329
- Cancer Research 316
Countries citing papers authored by Manjula Chaddha
This map shows the geographic impact of Manjula Chaddha'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 Manjula Chaddha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manjula Chaddha more than expected).
Fields of papers citing papers by Manjula Chaddha
This network shows the impact of papers produced by Manjula Chaddha. 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 Manjula Chaddha. The network helps show where Manjula Chaddha may publish in the future.
Co-authorship network of co-authors of Manjula Chaddha
This figure shows the co-authorship network connecting the top 25 collaborators of Manjula Chaddha. A scholar is included among the top collaborators of Manjula Chaddha 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 Manjula Chaddha. Manjula Chaddha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 18 | |
| 3 | 18 | |
| 4 | 50 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 100 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 54 | |
| 11 | 56 | |
| 12 | 64 | |
| 13 | 18 | |
| 14 | 32 | |
| 15 | 329 | |
| 16 | 13 | |
| 17 | Normal high density lipoprotein inhibits three steps in the formation of mildly oxidized low density lipoprotein: step 1breakdown → | 523 |
| 18 | Bioactivity of peptide analogs of the neutrophil chemoattractant, N-acetyl-proline-glycine-proline. | 36 |
| 19 | 68 | |
| 20 | 14 |
About Manjula Chaddha
Manjula Chaddha is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Immunology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Cholesterol and Lipid Metabolism (8 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Clinical Biochemistry (312 citations), Endocrinology, Diabetes and Metabolism (740 citations) and Surgery (1.0k citations). Manjula Chaddha has collaborated with scholars based in United States, Canada and India. Frequent co-authors include G.M. Anantharamaiah, Mohamad Navab, Alan M. Fogelman, Susan Hama, David W. Garber, Geeta Datta, Mayakonda N. Palgunachari, Srinivasa T. Reddy, Jere P. Segrest and Linda X. Jin. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Biochemistry.
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.