Indira Paddibhatla

739 citations
19 papers · 594 indexed · 1 hit paper · h-index 10
Topics
Invertebrate Immune Response Mechanisms (12 papers)Insect symbiosis and bacterial influences (8 papers)Neurobiology and Insect Physiology Research (4 papers)
Partner nations
United StatesIndia

In The Last Decade

Indira Paddibhatla

17 papers receiving 588 citations

Hit Papers

Long non-coding RNA: Classification, biogenesis and funct...20192026202120232019100200300

Peers

Indira Paddibhatla
Comparison fields: 5 of 60
  • Molecular Biology 353
  • Cancer Research 299
  • Immunology 165
  • Insect Science 130
  • Cellular and Molecular Neuroscience 67
Replace Sang-Ho Yoon with:
Sang-Ho Yoon South Korea
Xu‐Sheng Liu China
Xiao-Lu Teng China
Sébastien Durand France
Kleita Michaelidou Greece
Chunyang Liang United States
Michelle M. Lissner United States
Mayuko Yoda Japan
Xiuye Wang United States
Xiaoling Wan China
Indira Paddibhatla relative to Sang-Ho Yoon South Korea Sang-Ho Yoon's profile →
Citations per field
00.5×4.8×
Sang-Ho Yoon · 1×
Citations per year

Countries citing papers authored by Indira Paddibhatla

Since Specialization
Citations

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

Fields of papers citing papers by Indira Paddibhatla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indira Paddibhatla

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 6
3 7
4 8
5 9
6 13
7 2
8
Long non-coding RNA: Classification, biogenesis and functions in blood cellsbreakdown →
332
9 15
10 1
11 2
12 33
13 0
14 22
15 8
16 17
17 31
18 56
19 32

About Indira Paddibhatla

Indira Paddibhatla is a scholar working on Insect Science, Immunology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 594 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (12 papers), Insect symbiosis and bacterial influences (8 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Cancer Research (299 citations), Insect Science (130 citations) and Immunology (165 citations). Indira Paddibhatla has collaborated with scholars based in United States and India. Frequent co-authors include Ravi Kumar Gutti, Sanjeev Raghuwanshi, Swati Dahariya, Santosh Kumar, Shubha Govind, Roberto Ferrarese, Gwénaelle Gueguen, Jorge Morales, Rebecca S. Moore and Itishri Sahu. Their work appears in journals such as Journal of Cell Science, Developmental Biology and PLoS Pathogens.

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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