Subramanyam Chittivelu

1.9k citations
15 papers · 287 indexed · h-index 6
Topics
Peptidase Inhibition and Analysis (2 papers)Protease and Inhibitor Mechanisms (2 papers)Cystic Fibrosis Research Advances (2 papers)

In The Last Decade

Subramanyam Chittivelu

13 papers receiving 280 citations

Peers

Subramanyam Chittivelu
Comparison fields: 5 of 66
  • Cancer Research 147
  • Molecular Biology 138
  • Oncology 81
  • Immunology and Allergy 29
  • Pulmonary and Respiratory Medicine 28
Replace Bianca Rodrigues da Cunha with:
Bianca Rodrigues da Cunha Brazil
Xiaoming Zou China
Irina Lerman United States
Carliann M. Costanzo United States
D-A Silasi United States
Asuka Kobayashi Japan
Nan Huo China
Genesio Leo Italy
Christoph Wilmanns Australia
Subramanyam Chittivelu relative to Bianca Rodrigues da Cunha Brazil Bianca Rodrigues da Cunha's profile →
Citations per field
00.5×1.5×2.1×
Bianca Rodrigues da Cunha · 1×
Citations per year

Countries citing papers authored by Subramanyam Chittivelu

Since Specialization
Citations

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

Fields of papers citing papers by Subramanyam Chittivelu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subramanyam Chittivelu

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 3
5 0
6 10
7 4
8 5
9 2
10
Efficacy and Safety of Inhaled Dry Powder Mannitol in Treating Cystic Fibrosis: A Meta-Analysis and Systematic Review of Randomized Trials
1
11 42
12 67
13 132
14 1
15 14

About Subramanyam Chittivelu

Subramanyam Chittivelu is a scholar working on Genetics, Virology and Cancer Research, having authored 15 papers that have together received 287 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Cancer Research (147 citations), Immunology and Allergy (29 citations) and Oncology (81 citations). Subramanyam Chittivelu has collaborated with scholars based in United States, Canada and Saint Kitts and Nevis. Frequent co-authors include Jasti S. Rao, Chandramu Chetty, Sajani S. Lakka, Christopher S. Gondi, Praveen Bhoopathi, Divya Kesanakurti, Dilip Rajasekhar Maddirela, Edward K. Chapnick, Larry I. Lutwick and David Dao. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Molecular Cancer Therapeutics.

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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