Hema Mohan

1.3k total citations
17 papers, 1.1k citations indexed

About

Hema Mohan is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Hema Mohan has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Immunology and Allergy. Recurrent topics in Hema Mohan's work include Proteoglycans and glycosaminoglycans research (5 papers), Fibroblast Growth Factor Research (3 papers) and Cell Adhesion Molecules Research (3 papers). Hema Mohan is often cited by papers focused on Proteoglycans and glycosaminoglycans research (5 papers), Fibroblast Growth Factor Research (3 papers) and Cell Adhesion Molecules Research (3 papers). Hema Mohan collaborates with scholars based in Germany, Austria and United Kingdom. Hema Mohan's co-authors include Edgar Meinl, Hans Lassmann, Markus Krumbholz, Andreas Junker, Reinhard Hohlfeld, Sylvia Eisele, Hartmut Wekerle, Robert A. Bittner, Nicholas Schwab and Heinz Wiendl and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Brain.

In The Last Decade

Hema Mohan

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hema Mohan Germany 9 522 395 299 280 195 17 1.1k
Mariola Matysiak Poland 15 265 0.5× 106 0.3× 222 0.7× 251 0.9× 166 0.9× 34 825
Henrike Körner Germany 5 645 1.2× 529 1.3× 231 0.8× 102 0.4× 272 1.4× 6 1.1k
Susan L. Lindsay United Kingdom 16 460 0.9× 346 0.9× 82 0.3× 147 0.5× 114 0.6× 27 1.2k
Jordan Jones Australia 14 452 0.9× 149 0.4× 98 0.3× 81 0.3× 115 0.6× 31 923
Ajit Singh Dhaunchak Canada 12 447 0.9× 163 0.4× 92 0.3× 97 0.3× 127 0.7× 14 794
Luke Oh United States 10 290 0.6× 243 0.6× 88 0.3× 58 0.2× 97 0.5× 11 655
Emma Smith United Kingdom 18 705 1.4× 105 0.3× 247 0.8× 70 0.3× 134 0.7× 34 1.3k
Yiyan Zheng China 18 743 1.4× 140 0.4× 65 0.2× 217 0.8× 83 0.4× 32 1.2k
Mandy Meijer Sweden 7 297 0.6× 135 0.3× 191 0.6× 93 0.3× 337 1.7× 10 699
Alexandra M. Nicaise United States 15 396 0.8× 100 0.3× 120 0.4× 114 0.4× 251 1.3× 18 762

Countries citing papers authored by Hema Mohan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hema Mohan

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

All Works

17 of 17 papers shown
1.
Naidu, Sharadha Dayalan, Dina Dikovskaya, Elena V. Knatko, et al.. (2017). Transcription factors NRF2 and HSF1 have opposing functions in autophagy. Scientific Reports. 7(1). 11023–11023. 36 indexed citations
2.
Schneider‐Hohendorf, Tilman, Hema Mohan, Christian G. Bien, et al.. (2016). CD8+ T-cell pathogenicity in Rasmussen encephalitis elucidated by large-scale T-cell receptor sequencing. Nature Communications. 7(1). 11153–11153. 79 indexed citations
3.
Lindner, Maren, Ariel Arthur, Christina Elliott, et al.. (2015). Fibroblast growth factor signalling in multiple sclerosis: inhibition of myelination and induction of pro-inflammatory environment by FGF9. Brain. 138(7). 1875–1893. 51 indexed citations
4.
Mohan, Hema, et al.. (2015). PPIUCD versus interval IUCD (380a) insertion: a comparative study in a referral hospital of Karnataka, India. International Journal of Reproduction Contraception Obstetrics and Gynecology. 1730–1732. 1 indexed citations
5.
Mohan, Hema, et al.. (2015). Intravenous paracetamol infusion versus intramuscular tramadol as an intrapartum labor analgesic. International Journal of Reproduction Contraception Obstetrics and Gynecology. 1726–1729. 5 indexed citations
6.
Mohan, Hema, Stefanie Albrecht, Markus Krumbholz, et al.. (2014). Transcript profiling of different types of multiple sclerosis lesions yields FGF1 as a promoter of remyelination. Acta Neuropathologica Communications. 2(1). 168–168. 38 indexed citations
7.
Schneider‐Hohendorf, Tilman, Jan Rossaint, Hema Mohan, et al.. (2014). VLA-4 blockade promotes differential routes into human CNS involving PSGL-1 rolling of T cells and MCAM-adhesion of TH17 cells. Journal of Neuroimmunology. 275(1-2). 29–29. 6 indexed citations
8.
Schneider‐Hohendorf, Tilman, Jan Rossaint, Hema Mohan, et al.. (2014). VLA-4 blockade promotes differential routes into human CNS involving PSGL-1 rolling of T cells and MCAM-adhesion of TH17 cells. The Journal of Experimental Medicine. 211(9). 1833–1846. 119 indexed citations
9.
Mohan, Suresh, et al.. (2014). Appendicitis in pregnancy: management. International Journal of Research in Medical Sciences. 2(2). 532–532.
10.
Breuer, Johanna, Nicholas Schwab, Tilman Schneider‐Hohendorf, et al.. (2014). Ultraviolet B light attenuates the systemic immune response in central nervous system autoimmunity. Annals of Neurology. 75(5). 739–758. 94 indexed citations
11.
Breuer, Johanna, Nicholas Schwab, Tilman Schneider‐Hohendorf, et al.. (2014). UVB light attenuates the systemic immune response in CNS autoimmunity. Journal of Neuroimmunology. 275(1-2). 140–140. 1 indexed citations
12.
Mohan, Hema, et al.. (2013). POSTPARTUM CURETTAGE IN PRE-ECLAMPSIA AND ECLAMPSIA. Journal of Evolution of Medical and Dental Sciences. 2(48). 9283–9288.
13.
Eisele, Sylvia, Markus Krumbholz, M Fischer, et al.. (2012). Prospects of Transcript Profiling for mRNAs and MicroRNAs Using Formalin‐Fixed and Paraffin‐Embedded Dissected Autoptic Multiple Sclerosis Lesions. Brain Pathology. 22(5). 607–618. 20 indexed citations
14.
Mohan, Hema, Markus Krumbholz, Rakhi Sharma, et al.. (2010). Extracellular Matrix in Multiple Sclerosis Lesions: Fibrillar Collagens, Biglycan and Decorin are Upregulated and Associated with Infiltrating Immune Cells. Brain Pathology. 20(5). 966–975. 122 indexed citations
15.
Mohan, Hema. (2010). Extracellular matrix and oligodendrocyte regulators in different types of multiple sclerosis lesions: Implications for lesion development and regulation of remyelination. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München). 1 indexed citations
16.
Junker, Andreas, Markus Krumbholz, Sylvia Eisele, et al.. (2009). MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47. Brain. 132(12). 3342–3352. 479 indexed citations
17.
Mohan, Hema, Sylvia Eisele, Markus Krumbholz, et al.. (2008). Extracellular matrix in multiple sclerosis lesions: Induction of fibrillar collagens, biglycan, and decorin in association with infiltrating immune cells. Max Planck Institute for Plasma Physics. 203(2). 131–131. 1 indexed citations

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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