Makkuni Jayaram

5.5k citations
143 papers · 4.2k indexed · h-index 35
Topics
Bacterial Genetics and Biotechnology (53 papers)Fungal and yeast genetics research (50 papers)DNA and Nucleic Acid Chemistry (48 papers)
Partner nations
United StatesIndiaTaiwan

In The Last Decade

Makkuni Jayaram

141 papers receiving 4.1k citations

Peers

Makkuni Jayaram
Comparison fields: 5 of 99
  • Molecular Biology 3.8k
  • Genetics 1.3k
  • Plant Science 959
  • Ecology 456
  • Cell Biology 241
Replace Alain Jacquier with:
Alain Jacquier France
Abraham Worcel United States
L Guarente United States
Paul D. Sadowski Canada
Christian Marck France
Steven Broyles United States
José M. Sogo Switzerland
Junetsu Ito United States
Juan P. G. Ballesta Spain
Huanting Liu United Kingdom
Makkuni Jayaram relative to Alain Jacquier France Alain Jacquier's profile →
Citations per field
00.5×1.6×
Alain Jacquier · 1×
Citations per year

Countries citing papers authored by Makkuni Jayaram

Since Specialization
Citations

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

Fields of papers citing papers by Makkuni Jayaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makkuni Jayaram

This figure shows the co-authorship network connecting the top 25 collaborators of Makkuni Jayaram. A scholar is included among the top collaborators of Makkuni Jayaram 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 Makkuni Jayaram. Makkuni Jayaram 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
#WorkIndexed citations
1 2
2 7
3 11
4 14
5 15
6 53
7 12
8 45
9 22
10 17
11
Clinical and genom-wide linkage studies of a multigénérational family with acromegaly and the exclusion of requiem gene
5
12 9
13 109
14 31
15 22
16 59
17 33
18 38
19 14
20 2

About Makkuni Jayaram

Makkuni Jayaram is a scholar working on Genetics, Molecular Biology and Plant Science, having authored 143 papers that have together received 4.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (53 papers), Fungal and yeast genetics research (50 papers) and DNA and Nucleic Acid Chemistry (48 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Genetics (1.3k citations) and Plant Science (959 citations). Makkuni Jayaram has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include James R. Broach, Rasika M. Harshey, Jehee Lee, Ian Grainge, Ronald L. Parsons, Paruchuri V. Prasad, Chien-Hui Ma, Vel Murugan, Santanu Ghosh and Kim Nasmyth. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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