Makarla Udayakumar

2.6k total citations
48 papers, 1.8k citations indexed

About

Makarla Udayakumar is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Makarla Udayakumar has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 17 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Makarla Udayakumar's work include Plant Stress Responses and Tolerance (18 papers), Plant responses to water stress (11 papers) and Rice Cultivation and Yield Improvement (9 papers). Makarla Udayakumar is often cited by papers focused on Plant Stress Responses and Tolerance (18 papers), Plant responses to water stress (11 papers) and Rice Cultivation and Yield Improvement (9 papers). Makarla Udayakumar collaborates with scholars based in India, United States and Netherlands. Makarla Udayakumar's co-authors include Muthappa Senthil‐Kumar, Ramu S. Vemanna, Karaba N. Nataraja, Kirankumar S. Mysore, Venkategowda Ramegowda, Andy Pereira, Sheshshayee Sreeman, Nayelli Marsch‐Martínez, Raffaella Greco and Kurniawan Rudi Trijatmiko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Makarla Udayakumar

48 papers receiving 1.7k citations

Peers

Makarla Udayakumar
Comparison fields: 5 of 78
  • Plant Science 1.6k
  • Molecular Biology 650
  • Genetics 132
  • Agronomy and Crop Science 81
  • Biotechnology 65
Replace Anna Rita Paolacci with:
Anna Rita Paolacci Italy
Philippe Gallusci France
Palakolanu Sudhakar Reddy India
N. K. Singh India
Venkategowda Ramegowda India
Chuanping Yang China
Roel Rabara United States
Prachi Pandey India
Parinita Agarwal India
Silvana Creste Brazil
Anna Rita Paolacci Italy View profile →
Citations per field, relative to Makarla Udayakumar
Makarla Udayakumar · 1×
Citations per year, relative to Makarla Udayakumar
Makarla Udayakumar · 1×

Countries citing papers authored by Makarla Udayakumar

Since Specialization
Citations

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

Fields of papers citing papers by Makarla Udayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makarla Udayakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Makarla Udayakumar. A scholar is included among the top collaborators of Makarla Udayakumar 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 Makarla Udayakumar. Makarla Udayakumar 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 10
2 27
3 28
4 30
5 25
6 68
7 54
8 79
9 23
10 38
11 27
12 39
13 63
14 4
15 5
16 87
17 41
18 32
19 21
20 333

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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