Manishkumar Patel

4.8k citations
51 papers · 3.1k · 2 hit papers · h-index 16

Impact in

Papers in

Manishkumar Patel

48 papers receiving 3.1k citations

Manishkumar Patel's Hit Papers

An inflammatory cytokine signature predicts COVID-19 severity and survival 2020 · 1.9k citations
1.9k0+2+4Years since publication50010001.5k

Peers

Manishkumar Patel
Comparison fields: 5 of 121
  • Biological Psychiatry 233
  • Infectious Diseases 1.4k
  • Neurology 684
  • Behavioral Neuroscience 122
  • Immunology 377
Replace Hélène C. Descamps with:
Hélène C. Descamps United States
Pritha Sen United States
Yael Rosenberg‐Hasson United States
Renê Donizeti Ribeiro de Oliveira Brazil
Luo‐Qi Zhou China
Xiaoyun Zhang China
Katharina Kurz Austria
Daniel M. Forton United Kingdom
Huiyun Zhang China
Robert Frithiof Sweden
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Citations per year

Countries citing papers authored by Manishkumar Patel

Since Specialization
Citations

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

Fields of papers citing papers by Manishkumar Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An inflammatory cytokine signature predicts COVID-19 severity and survival
Hit paper breakdown →
20201899
2
Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C)
Hit paper breakdown →
2020426
3 2017162
4 202156
5 202247
6 202343
7 202141
8 202437
9 201833
10 202232
11 202132
12 202425
13 202320
14 202016
15 202416
16 202016
17 201515
18 201114
19 202314
20 201214

About Manishkumar Patel

Manishkumar Patel is a scholar working on Biological Psychiatry, Infectious Diseases, Neurology, Hematology and Behavioral Neuroscience, having authored 51 papers that have together received 3.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (7 papers), Tryptophan and brain disorders (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Stress Responses and Cortisol (4 papers), Multiple Myeloma Research and Treatments (3 papers), Kawasaki Disease and Coronary Complications (3 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (233 citations), Infectious Diseases (1.4k citations), Neurology (684 citations), Behavioral Neuroscience (122 citations) and Immunology (377 citations). Manishkumar Patel has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Seunghee Kim‐Schulze, Sara Costi, James W. Murrough, Scott J. Russo, Miriam Mérad, Dennis S. Charney, Nicholas T. Van Dam, Jaclyn Schwartz, Drew D. Kiraly and Georgia E. Hodes. Their work appears in journals such as Blood, Nature Communications, Nature Medicine, CHEST Journal and Cell.

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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