Sadeesh K. Ramakrishnan

2.1k citations
38 papers · 1.6k indexed · h-index 20
Topics
Cancer, Hypoxia, and Metabolism (12 papers)Liver Disease Diagnosis and Treatment (9 papers)Diet and metabolism studies (7 papers)
Partner nations
United StatesIndiaChina

In The Last Decade

Sadeesh K. Ramakrishnan

37 papers receiving 1.6k citations

Peers

Sadeesh K. Ramakrishnan
Comparison fields: 5 of 106
  • Molecular Biology 710
  • Cancer Research 435
  • Epidemiology 301
  • Physiology 281
  • Immunology 265
Replace Masataka Kohno with:
Masataka Kohno Japan
Ashis K. Mondal United States
Shi-Fang Yan United States
Le Anh Luong United Kingdom
Motoyoshi Endo Japan
Tonya Watkins United States
Seung‐Ah Yoo South Korea
Valerio Izzi Finland
Mitsuyo Matsumoto Japan
Chang‐Yan Li China
Sadeesh K. Ramakrishnan relative to Masataka Kohno Japan Masataka Kohno's profile →
Citations per field
00.5×2.5×
Masataka Kohno · 1×
Citations per year

Countries citing papers authored by Sadeesh K. Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Sadeesh K. Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sadeesh K. Ramakrishnan. 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 Sadeesh K. Ramakrishnan. The network helps show where Sadeesh K. Ramakrishnan may publish in the future.

Co-authorship network of co-authors of Sadeesh K. Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Sadeesh K. Ramakrishnan. A scholar is included among the top collaborators of Sadeesh K. Ramakrishnan 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 Sadeesh K. Ramakrishnan. Sadeesh K. Ramakrishnan 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 18
3 12
4 10
5 45
6 55
7 35
8 16
9 27
10 75
11 15
12 127
13 128
14 28
15 11
16 190
17 74
18 43
19 41
20 148

About Sadeesh K. Ramakrishnan

Sadeesh K. Ramakrishnan is a scholar working on Cancer Research, Physiology and Epidemiology, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), Liver Disease Diagnosis and Treatment (9 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Cancer Research (435 citations), Immunology (265 citations) and Cell Biology (196 citations). Sadeesh K. Ramakrishnan has collaborated with scholars based in United States, India and China. Frequent co-authors include Yatrik M. Shah, Raja Gopal Reddy Mooli, Xiang Xue, Daniel Triner, Joel K. Greenson, Michael K. Dame, Matthew J. Taylor, Balázs Győrffy, Eric R. Fearon and James Varani. Their work appears in journals such as Nature Medicine, Nature Communications and Gastroenterology.

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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