Padma Sharma

48 total papers · 547 total citations
28 papers, 374 citations indexed

About

Padma Sharma is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Padma Sharma has authored 28 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 8 papers in Molecular Biology and 8 papers in Pollution. Recurrent topics in Padma Sharma's work include Plant Stress Responses and Tolerance (8 papers), Plant and animal studies (7 papers) and Plant Parasitism and Resistance (7 papers). Padma Sharma is often cited by papers focused on Plant Stress Responses and Tolerance (8 papers), Plant and animal studies (7 papers) and Plant Parasitism and Resistance (7 papers). Padma Sharma collaborates with scholars based in India, United States and Australia. Padma Sharma's co-authors include Daizy R. Batish, Harminder Pal Singh, Mustaqeem Ahmad, Ravinder Kumar Kohli, R. C. Sobti, Hemraj Nandanwar, Rakesh M. Vohra, K. G. Gupta, Shalinder Kaur and Sanjay Kr. Uniyal and has published in prestigious journals such as The Science of The Total Environment, Journal of Ecology and Journal of Environmental Management.

In The Last Decade

Padma Sharma

26 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Padma Sharma 148 119 91 83 81 28 374
Bhaskar Sarma 156 1.1× 38 0.3× 32 0.4× 69 0.8× 8 0.1× 38 402
Iqra Naeem 204 1.4× 30 0.3× 34 0.4× 52 0.6× 18 0.2× 27 409
Ye Wang 243 1.6× 15 0.1× 31 0.3× 154 1.9× 46 0.6× 26 424
Rukhsana Kausar 151 1.0× 80 0.7× 41 0.5× 51 0.6× 6 0.1× 27 402
Angélica Romero-Manzanares 161 1.1× 83 0.7× 52 0.6× 36 0.4× 11 0.1× 48 411
Yongming Fan 85 0.6× 40 0.3× 27 0.3× 195 2.3× 36 0.4× 27 378
J. Pureveen 107 0.7× 42 0.4× 41 0.5× 35 0.4× 18 0.2× 18 362
Xiaoxin Tang 167 1.1× 29 0.2× 81 0.9× 154 1.9× 13 0.2× 27 371
Kjell Larsson 146 1.0× 70 0.6× 25 0.3× 45 0.5× 36 0.4× 31 430
Arlem Nascimento de Oliveira 235 1.6× 120 1.0× 97 1.1× 66 0.8× 58 0.7× 22 446

Countries citing papers authored by Padma Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Padma Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padma Sharma

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026