Manisha Singh
Impact in
- Biological Psychiatry top 10%
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Nicotinic Acetylcholine Receptors Study 8
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 3
-
- Neonatal Respiratory Health Research 5
- Co-authors
- Mohan L. Sopori (23 shared papers)Raymond J. Langley (15 shared papers)Neerad C. Mishra (14 shared papers)Seddigheh Razani‐Boroujerdi (9 shared papers)Juan Carlos Peña-Philippides (8 shared papers)Roma Kalra (6 shared papers)Jules Rir-sima-ah (6 shared papers)Sravanthi Gundavarapu (7 shared papers)
- Journals
- The Journal of Immunology (5 papers)Life Sciences (4 papers)Current Gene Therapy (2 papers)PLoS ONE (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Manisha Singh
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Biological Psychiatry 31
- Molecular Medicine 59
- Neurology 88
- Physiology 208
- Sensory Systems 36
Countries citing papers authored by Manisha Singh
This map shows the geographic impact of Manisha Singh'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 Manisha Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisha Singh more than expected).
Fields of papers citing papers by Manisha Singh
This network shows the impact of papers produced by Manisha Singh. 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 Manisha Singh. The network helps show where Manisha Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Manisha Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 80 | |
| 2 | 2008 | 79 | |
| 3 | 2000 | 72 | |
| 4 | 2011 | 70 | |
| 5 | 2010 | 65 | |
| 6 | 2012 | 46 | |
| 7 | 2009 | 44 | |
| 8 | 2007 | 43 | |
| 9 | 2012 | 42 | |
| 10 | 2004 | 39 | |
| 11 | 2021 | 31 | |
| 12 | 2001 | 30 | |
| 13 | 2017 | 29 | |
| 14 | 2002 | 29 | |
| 15 | 2013 | 28 | |
| 16 | 2019 | 27 | |
| 17 | 2006 | 27 | |
| 18 | 2008 | 26 | |
| 19 | 2002 | 26 | |
| 20 | 2013 | 24 |
About Manisha Singh
Manisha Singh is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Immunology and Cancer Research, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (8 papers), Neonatal Respiratory Health Research (5 papers), RNA Interference and Gene Delivery (4 papers), Antibiotic Resistance in Bacteria (4 papers), Asthma and respiratory diseases (4 papers), Tuberculosis Research and Epidemiology (4 papers), MicroRNA in disease regulation (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Biological Psychiatry (31 citations), Molecular Medicine (59 citations), Neurology (88 citations), Physiology (208 citations) and Sensory Systems (36 citations). Manisha Singh has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Mohan L. Sopori, Raymond J. Langley, Neerad C. Mishra, Seddigheh Razani‐Boroujerdi, Juan Carlos Peña-Philippides, Roma Kalra, Jules Rir-sima-ah, Sravanthi Gundavarapu, Yohannes Tesfaigzi and Anna Kozak. Their work appears in journals such as The Journal of Immunology, Life Sciences, Current Gene Therapy, PLoS ONE and Frontiers in Immunology.
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.