Poonam Gera

726 citations
32 papers · 340 · h-index 13

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 4
    • Cancer-related gene regulation 3
    • Molecular Biology Techniques and Applications 3
    • RNA modifications and cancer 3
    • Cancer Cells and Metastasis 4

Poonam Gera

28 papers receiving 334 citations

Peers

Poonam Gera
Comparison fields: 5 of 75
  • Biophysics 85
  • Analytical Chemistry 62
  • Periodontics 23
  • Otorhinolaryngology 15
  • Molecular Biology 190
Replace Gabriella Dobra with:
Gabriella Dobra Hungary
Yuhui Pan China
Roger Wei Canada
Bogomir Dimitrijević Serbia
Hugh Luk United States
Timo N. Kohler United Kingdom
Gissela Borrego‐Soto Mexico
Xixiong Kang China
Shingo Matsushima Japan
Cainan Luo China
Poonam Gera relative to Gabriella Dobra Hungary Gabriella Dobra's profile →
Citations per field
00.5×10.3×
Gabriella Dobra · 1×
Citations per year

Countries citing papers authored by Poonam Gera

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Gera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 201533
3 202228
4 201923
5 201723
6 202021
7 202017
8 202014
9 201914
10 202014
11 202114
12 201914
13 202313
14 20249
15 20228
16 20247
17 20216
18 20216
19 20205
20 20194

About Poonam Gera

Poonam Gera is a scholar working on Molecular Biology, Oncology, Biophysics, Cancer Research and Biotechnology, having authored 32 papers that have together received 340 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Cancer Cells and Metastasis (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Cancer Research and Treatments (4 papers), Cancer-related gene regulation (3 papers), Molecular Biology Techniques and Applications (3 papers), Oral Health Pathology and Treatment (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biophysics (85 citations), Analytical Chemistry (62 citations), Periodontics (23 citations), Otorhinolaryngology (15 citations) and Molecular Biology (190 citations). Poonam Gera has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Sanket Shah, Sanjay Gupta, C. Murali Krishna, Pankaj Chaturvedi, Aditi Sahu, Sudhir Nair, Saurav Singh, Ajit Kumar Sharma, Manoj B. Mahimkar and Rahul Thorat. Their work appears in journals such as Clinical Epigenetics, Cancer Research, Journal of Biophotonics, British Journal of Cancer and Experimental Biology and Medicine.

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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