Hema Mohan
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Fibroblast Growth Factor Research 3
- Glycosylation and Glycoproteins Research 2
-
- Proteoglycans and glycosaminoglycans research 5
- Co-authors
- Hans Lassmann (6 shared papers)Edgar Meinl (6 shared papers)Markus Krumbholz (5 shared papers)Andreas Junker (4 shared papers)Reinhard Hohlfeld (5 shared papers)Sylvia Eisele (4 shared papers)Hartmut Wekerle (4 shared papers)Robert A. Bittner (1 shared paper)
- Journals
- Brain Pathology (2 papers)Brain (2 papers)Journal of Neuroimmunology (2 papers)Scientific Reports (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Hema Mohan
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 109
- Cancer Research 395
- Neurology 195
- Pathology and Forensic Medicine 280
- Immunology 299
Countries citing papers authored by Hema Mohan
This map shows the geographic impact of Hema Mohan'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 Hema Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hema Mohan more than expected).
Fields of papers citing papers by Hema Mohan
This network shows the impact of papers produced by Hema Mohan. 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 Hema Mohan. The network helps show where Hema Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hema Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 479 | |
| 2 | 2010 | 122 | |
| 3 | 2014 | 119 | |
| 4 | 2014 | 94 | |
| 5 | 2016 | 79 | |
| 6 | 2015 | 51 | |
| 7 | 2014 | 38 | |
| 8 | 2017 | 36 | |
| 9 | 2012 | 20 | |
| 10 | 2014 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2015 | 1 | |
| 13 | 2010 | 1 | |
| 14 | Extracellular matrix in multiple sclerosis lesions: Induction of fibrillar collagens, biglycan, and decorin in association with infiltrating immune cells | 2008 | 1 |
| 15 | 2014 | 1 | |
| 16 | 2014 | 0 | |
| 17 | 2013 | 0 |
About Hema Mohan
Hema Mohan is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Surgery and Dermatology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (5 papers), Cell Adhesion Molecules Research (3 papers), Fibroblast Growth Factor Research (3 papers), MicroRNA in disease regulation (2 papers), Skin Protection and Aging (2 papers), Glycosylation and Glycoproteins Research (2 papers), Circadian rhythm and melatonin (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (109 citations), Cancer Research (395 citations), Neurology (195 citations), Pathology and Forensic Medicine (280 citations) and Immunology (299 citations). Hema Mohan has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Hans Lassmann, Edgar Meinl, Markus Krumbholz, Andreas Junker, Reinhard Hohlfeld, Sylvia Eisele, Hartmut Wekerle, Robert A. Bittner, Heinz Wiendl and Tilman Schneider‐Hohendorf. Their work appears in journals such as Brain Pathology, Brain, Journal of Neuroimmunology, Scientific Reports and Acta Neuropathologica Communications.
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.