Vimla Band

6.2k citations
70 papers · 4.2k indexed · 1 hit paper · h-index 31

Impact in

  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation

Papers in

    • Cancer-related Molecular Pathways 11
    • HER2/EGFR in Cancer Research 9
    • Cancer Cells and Metastasis 8

Vimla Band

69 papers receiving 4.2k citations

Hit Papers

E7 protein of human papilloma virus-16 induces degradation of retinoblastoma protein through the ubiquitin-proteasome pathway. 1996 · 758 citations
7581996202620062016250500750

Peers

Vimla Band
Comparison fields: 5 of 125
  • Oncology 1.4k
  • Molecular Biology 2.8k
  • Cancer Research 568
  • Cell Biology 616
  • Aging 62
Replace Vimla Band with:
Vimla Band United States
Martina Olivero Italy
Lizi Wu United States
J. Michael Ruppert United States
Claudia Lengerke Germany
Susanne I. Wells United States
Robert E. Hollingsworth United States
Peter A. Steck United States
Yosef Yarden Israel
Hesed Padilla‐Nash United States
Vimla Band relative to Vimla Band United States Vimla Band's profile →
Citations per field
00.5×2.7×
Vimla Band · 1×
Citations per year

Countries citing papers authored by Vimla Band

Since Specialization
Citations

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

Fields of papers citing papers by Vimla Band

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vimla Band, 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 Vimla Band Line = papers co-authored together Vimla Band links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20239
2 202218
3 202010
4 201913
5 201829
6 201836
7 201623
8 201430
9 201221
10 201217
11 201131
12 2010178
13 201035
14 200892
15 2007103
16 200765
17 200781
18 200417
19 2003170
20 2002340

About Vimla Band

Vimla Band is a scholar working on Aging, Oncology, Immunology and Allergy, Molecular Biology and Genetics, having authored 70 papers that have together received 4.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Cancer-related Molecular Pathways (11 papers), HER2/EGFR in Cancer Research (9 papers), Genomics and Chromatin Dynamics (9 papers), Cancer Cells and Metastasis (8 papers), Glycosylation and Glycoproteins Research (5 papers), Acute Myeloid Leukemia Research (5 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Oncology (1.4k citations), Molecular Biology (2.8k citations), Cancer Research (568 citations), Cell Biology (616 citations) and Aging (62 citations). Vimla Band has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David E. Wazer, S N Boyer, Hamid Band, Goberdhan P. Dimri, Mayumi Naramura, Qingshen Gao, Srikumar M. Raja, Alagarsamy Lakku Reddi, Manjari Dimri and Norvin D. Fernandes. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Oncotarget, Breast Cancer Research and Treatment and Molecular and Cellular Biology.

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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