Bhramar Mukherjee

20.2k citations
397 papers · 12.8k · 1 hit paper · h-index 61

Impact in

Papers in

    • Effects and risks of endocrine disrupting chemicals 41
    • Air Quality and Health Impacts 34
    • Heavy Metal Exposure and Toxicity 32
    • Statistical Methods and Inference 44
    • Advanced Causal Inference Techniques 36
    • Statistical Methods and Bayesian Inference 27

Bhramar Mukherjee

385 papers receiving 12.6k citations

Bhramar Mukherjee's Hit Papers

Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review 2022 · 845 citations
8450+1+2Years since publication250500750

Peers

Bhramar Mukherjee
Comparison fields: 5 of 203
  • Health, Toxicology and Mutagenesis 4.9k
  • Environmental Chemistry 822
  • Neurology 981
  • Statistics and Probability 548
  • Obstetrics and Gynecology 380
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Citations per field
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Citations per year

Countries citing papers authored by Bhramar Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Bhramar Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 397 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review
Hit paper breakdown →
2022845
2 2013329
3 2009271
4 2018267
5 2014209
6 2014203
7 2013179
8 2014173
9 2015165
10 2013155
11 2020154
12 2019144
13 2019137
14 2013135
15 2017134
16 2015132
17 2014132
18 2013130
19 2018127
20 2016126

About Bhramar Mukherjee

Bhramar Mukherjee is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability, Genetics, Molecular Biology and Economics and Econometrics, having authored 397 papers that have together received 12.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (50 papers), Statistical Methods and Inference (44 papers), Effects and risks of endocrine disrupting chemicals (41 papers), Advanced Causal Inference Techniques (36 papers), Air Quality and Health Impacts (34 papers), Heavy Metal Exposure and Toxicity (32 papers), Statistical Methods and Bayesian Inference (27 papers) and COVID-19 epidemiological studies (24 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (4.9k citations), Environmental Chemistry (822 citations), Neurology (981 citations), Statistics and Probability (548 citations) and Obstetrics and Gynecology (380 citations). Bhramar Mukherjee has collaborated with scholars based in United States, India and Puerto Rico. Frequent co-authors include John D. Meeker, Kelly K. Ferguson, Thomas F. McElrath, Sung Kyun Park, David E. Cantonwine, Lars G. Fritsche, Stuart Batterman, Xu Shi, Xin Wang and Lauren Zimmermann. Their work appears in journals such as Statistics in Medicine, Environmental Health Perspectives, Environment International, Biometrics and Environmental Research.

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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