Rashmi U. Pathak

457 citations
19 papers · 310 · h-index 10

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Nuclear Structure and Function
    • Epigenetics and DNA Methylation
    • Mitochondrial Function and Pathology

Papers in

    • Genomics and Chromatin Dynamics 10
    • RNA Research and Splicing 8
    • Nuclear Structure and Function 4
    • Genomics and Phylogenetic Studies 3
    • Ubiquitin and proteasome pathways 2
    • Chromosomal and Genetic Variations 5

Rashmi U. Pathak

18 papers receiving 308 citations

Peers

Rashmi U. Pathak
Comparison fields: 5 of 73
  • Aging 11
  • Molecular Biology 227
  • Biological Psychiatry 8
  • Cancer Research 36
  • Physiology 52
Replace Jian Fei with:
Jian Fei China
Xiuying Duan China
Sushil Devkota South Korea
Wanqiu Ding China
Mariano Russo United States
Benan John Mathai Norway
Joseph L. Wilkerson United States
Xiao‐Qiong Chen China
Eline C. Brombacher Netherlands
Wen Dui China
Rashmi U. Pathak relative to Jian Fei China Jian Fei's profile →
Citations per field
00.5×2.8×
Jian Fei · 1×
Citations per year

Countries citing papers authored by Rashmi U. Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Rashmi U. Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rashmi U. Pathak. 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 Rashmi U. Pathak. The network helps show where Rashmi U. Pathak may publish in the future.

Co-authors

The 17 scholars most cited alongside Rashmi U. Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rashmi U. Pathak Line = papers co-authored together Rashmi U. Pathak links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202172
2 200841
3 201736
4 200729
5 202026
6 201420
7 200620
8 201020
9 201814
10 20139
11 20225
12 20235
13 20173
14 20063
15 20173
16 20222
17 20211
18 20221
19 20240

About Rashmi U. Pathak

Rashmi U. Pathak is a scholar working on Molecular Biology, Plant Science, Genetics, Physiology and Reproductive Medicine, having authored 19 papers that have together received 310 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (8 papers), Chromosomal and Genetic Variations (5 papers), Nuclear Structure and Function (4 papers), Genomics and Phylogenetic Studies (3 papers), Animal Genetics and Reproduction (2 papers), Sperm and Testicular Function (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Aging (11 citations), Molecular Biology (227 citations), Biological Psychiatry (8 citations), Cancer Research (36 citations) and Physiology (52 citations). Rashmi U. Pathak has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Rakesh K. Mishra, Gavin P. Davey, Sanjay Gupta, Krishnaveni Mishra, Nandini Rangaraj, Senthilkumar Ramamoorthy, Surabhi Srivastava, Shilpa Bisht, Rima Dada and Rajeev Kumar. Their work appears in journals such as Molecular & Cellular Proteomics, BMC Genomics, Nucleus, Scientific Reports and Gene.

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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