Poonam Gera

101 total papers · 684 total citations
32 papers, 317 citations indexed

About

Poonam Gera is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Poonam Gera has authored 32 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Poonam Gera's work include Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Cancer Research and Treatments (5 papers) and Cancer-related gene regulation (5 papers). Poonam Gera is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Cancer Research and Treatments (5 papers) and Cancer-related gene regulation (5 papers). Poonam Gera collaborates with scholars based in India, United States and Canada. Poonam Gera's co-authors include Sanket Shah, C. Murali Krishna, Sanjay Gupta, Aditi Sahu, Pankaj Chaturvedi, Sudhir Nair, Saurav Singh, Ajit Kumar Sharma, Akshat Malik and Manoj B. Mahimkar and has published in prestigious journals such as Cancer Research, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Poonam Gera

28 papers receiving 311 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Poonam Gera	195	83	61	52	47	32	317
Antony M. Wheatley	133 0.7×	62 0.7×	34 0.6×	29 0.6×	12 0.3×	25	331
H. Lyon	108 0.6×	13 0.2×	12 0.2×	60 1.2×	53 1.1×	37	362
Zhilin Chen	95 0.5×	39 0.5×	32 0.5×	64 1.2×	42 0.9×	32	311
Kun Qian	142 0.7×	34 0.4×	19 0.3×	67 1.3×	73 1.6×	43	331
Pu Wang	141 0.7×	36 0.4×	20 0.3×	36 0.7×	33 0.7×	24	310
David Hoskovec	60 0.3×	52 0.6×	36 0.6×	52 1.0×	27 0.6×	33	260
Sheng Li	122 0.6×	29 0.3×	25 0.4×	21 0.4×	19 0.4×	29	345
Hengzi Sun	178 0.9×	30 0.4×	19 0.3×	51 1.0×	100 2.1×	22	337
Nasta Tanić	186 1.0×	6 0.1×	4 0.1×	102 2.0×	76 1.6×	28	340
Zhe Zhang	108 0.6×	18 0.2×	10 0.2×	39 0.8×	34 0.7×	27	240

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-authorship network of co-authors of Poonam Gera

This figure shows the co-authorship network connecting the top 25 collaborators of Poonam Gera. A scholar is included among the top collaborators of Poonam Gera 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 Poonam Gera. Poonam Gera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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