Dhanunjay Mukhi

1.3k citations
27 papers · 853 indexed · 1 hit paper · h-index 16
Topics
Chronic Kidney Disease and Diabetes (7 papers)Renal Diseases and Glomerulopathies (7 papers)Liver Disease Diagnosis and Treatment (6 papers)

In The Last Decade

Dhanunjay Mukhi

26 papers receiving 847 citations

Hit Papers

Molecular pathways that drive diabetic kidney disease2023202620242025202350100150200

Peers

Dhanunjay Mukhi
Comparison fields: 5 of 90
  • Molecular Biology 371
  • Nephrology 299
  • Epidemiology 138
  • Genetics 105
  • Pulmonary and Respiratory Medicine 97
Replace Tomohito Doke with:
Tomohito Doke United States
Hisazumi Araki Japan
Xiaogang Du China
Yu Ishimoto Japan
Can Wu China
Laura Márquez‐Expósito Spain
Xinli Xu China
Kimberly Reidy United States
Hiroyuki Ohsaki Japan
Shuguang Yuan China
Dhanunjay Mukhi relative to Tomohito Doke United States Tomohito Doke's profile →
Citations per field
00.5×1.5×
Tomohito Doke · 1×
Citations per year

Countries citing papers authored by Dhanunjay Mukhi

Since Specialization
Citations

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

Fields of papers citing papers by Dhanunjay Mukhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhanunjay Mukhi

This figure shows the co-authorship network connecting the top 25 collaborators of Dhanunjay Mukhi. A scholar is included among the top collaborators of Dhanunjay Mukhi 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 Dhanunjay Mukhi. Dhanunjay Mukhi 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 3
2 1
3 4
4 12
5 33
6 62
7 22
8
Molecular pathways that drive diabetic kidney diseasebreakdown →
202
9 11
10 45
11 8
12 116
13 13
14 63
15 30
16 9
17 16
18 27
19 45
20 16

About Dhanunjay Mukhi

Dhanunjay Mukhi is a scholar working on Nephrology, Cancer Research and Clinical Biochemistry, having authored 27 papers that have together received 853 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (7 papers), Renal Diseases and Glomerulopathies (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Nephrology (299 citations), Clinical Biochemistry (53 citations) and Cancer Research (97 citations). Dhanunjay Mukhi has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Katalin Suszták, Tomohito Doke, Hailong Hu, Poonam Dhillon, Anil Kumar Pasupulati, Raja Gopal Reddy Mooli, Sadeesh K. Ramakrishnan, Sathish Kumar Mungamuri, Ram K. Menon and Ziyuan Ma. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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