Rammohan Shukla

1.2k total citations
39 papers, 522 citations indexed

About

Rammohan Shukla is a scholar working on Molecular Biology, Biological Psychiatry and Neurology. According to data from OpenAlex, Rammohan Shukla has authored 39 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Biological Psychiatry and 8 papers in Neurology. Recurrent topics in Rammohan Shukla's work include Tryptophan and brain disorders (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Stress Responses and Cortisol (4 papers). Rammohan Shukla is often cited by papers focused on Tryptophan and brain disorders (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Stress Responses and Cortisol (4 papers). Rammohan Shukla collaborates with scholars based in United States, Canada and Japan. Rammohan Shukla's co-authors include Robert E. McCullumsmith, S. Kranthi, K. R. Kranthi, Etienne Sibille, B. M. Khadi, V. S. Nagrare, Tetsuo Yamamori, Khaled Alganem, Ali Sajid Imami and Abdul‐rizaq Hamoud and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biological Psychiatry.

In The Last Decade

Rammohan Shukla

36 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rammohan Shukla United States 14 212 140 96 90 75 39 522
Nikola Dimitrijević United States 16 217 1.0× 130 0.9× 52 0.5× 228 2.5× 30 0.4× 34 611
Glenda Alquicer Czechia 10 146 0.7× 51 0.4× 30 0.3× 247 2.7× 49 0.7× 18 498
Fangfang Liu China 12 127 0.6× 52 0.4× 23 0.2× 112 1.2× 27 0.4× 26 462
Heon Seok South Korea 17 504 2.4× 36 0.3× 26 0.3× 470 5.2× 52 0.7× 26 1.0k
Archana Jha United States 16 523 2.5× 32 0.2× 51 0.5× 270 3.0× 16 0.2× 31 996
Renza Roncarati Italy 22 813 3.8× 83 0.6× 170 1.8× 262 2.9× 16 0.2× 31 1.1k
Dimitrije Krstic Switzerland 9 259 1.2× 35 0.3× 22 0.2× 259 2.9× 159 2.1× 10 1.0k
Ana F. Oliveira Brazil 13 213 1.0× 25 0.2× 36 0.4× 188 2.1× 47 0.6× 20 630
Jan Lehmbeck Denmark 17 542 2.6× 38 0.3× 142 1.5× 37 0.4× 16 0.2× 28 874
Hakeem O. Lawal United States 13 207 1.0× 84 0.6× 76 0.8× 278 3.1× 14 0.2× 22 620

Countries citing papers authored by Rammohan Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Rammohan Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rammohan Shukla

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

All Works

20 of 20 papers shown
1.
Sharma, Vandana & Rammohan Shukla. (2024). Dynamic Dysregulation of Ribosomal Protein Genes in Mouse Brain Stress Models. SHILAP Revista de lepidopterología. 4(4). 916–922. 1 indexed citations
2.
Hamoud, Abdul‐rizaq, Khaled Alganem, Salma Toma Hanna, et al.. (2024). Illuminating the dark kinome: utilizing multiplex peptide activity arrays to functionally annotate understudied kinases. Cell Communication and Signaling. 22(1). 501–501. 1 indexed citations
3.
Ryan, William G., Ali Sajid Imami, Xiaolu Zhang, et al.. (2024). Interpreting and visualizing pathway analyses using embedding representations with PAVER. Bioinformation. 20(7). 700–704. 3 indexed citations
4.
Sharma, Vandana, Karthik Swaminathan, & Rammohan Shukla. (2024). The Ribosome Hypothesis: Decoding Mood Disorder Complexity. International Journal of Molecular Sciences. 25(5). 2815–2815. 3 indexed citations
5.
Shukla, Rammohan. (2024). Two Distinct Biotypes in Major Depression Unveiled. Biological Psychiatry. 95(5). 382–384.
6.
Malathi, Krishnamurthy, et al.. (2023). Ribosomal dysregulation: A conserved pathophysiological mechanism in human depression and mouse chronic stress. PNAS Nexus. 2(10). 9 indexed citations
7.
Imami, Ali Sajid, et al.. (2023). PAVER: Pathway Analysis Visualization with Embedding Representations. SHILAP Revista de lepidopterología. 11(3). 1 indexed citations
8.
Smith, Brittany, Rammohan Shukla, Khaled Alganem, et al.. (2023). Molecular neurobiology of loss: a role for basolateral amygdala extracellular matrix. Molecular Psychiatry. 28(11). 4729–4741. 11 indexed citations
9.
O’Donovan, Sinead M., et al.. (2022). Assessing the effects of antipsychotic medications on schizophrenia functional analysis: a postmortem proteome study. Neuropsychopharmacology. 47(12). 2033–2041. 8 indexed citations
10.
Zhang, Xiaolu, et al.. (2022). Differential vulnerability of anterior cingulate cortex cell types to diseases and drugs. Molecular Psychiatry. 27(10). 4023–4034. 3 indexed citations
11.
Wu, Xiaojun, et al.. (2021). Similarities and dissimilarities between psychiatric cluster disorders. Molecular Psychiatry. 26(9). 4853–4863. 12 indexed citations
12.
Tomoda, Toshifumi, Akiko Sumitomo, Rammohan Shukla, et al.. (2021). BDNF controls GABAAR trafficking and related cognitive processes via autophagic regulation of p62. Neuropsychopharmacology. 47(2). 553–563. 25 indexed citations
13.
Shukla, Rammohan, Dwight F. Newton, Akiko Sumitomo, et al.. (2021). Molecular characterization of depression trait and state. Molecular Psychiatry. 27(2). 1083–1094. 28 indexed citations
14.
Shukla, Rammohan, et al.. (2021). Integrating single-cell transcriptomics and microcircuit computer modeling. Current Opinion in Pharmacology. 60. 34–39. 3 indexed citations
15.
Wu, Xiaojun, Rammohan Shukla, Khaled Alganem, et al.. (2021). Transcriptional profile of pyramidal neurons in chronic schizophrenia reveals lamina-specific dysfunction of neuronal immunity. Molecular Psychiatry. 26(12). 7699–7708. 15 indexed citations
16.
Rocco, Brad R., Hyunjung Oh, Rammohan Shukla, Naguib Mechawar, & Etienne Sibille. (2017). Fluorescence-based cell-specific detection for laser-capture microdissection in human brain. Scientific Reports. 7(1). 14213–14213. 17 indexed citations
17.
Takahata, Toru, Rammohan Shukla, Tetsuo Yamamori, & J. H. Kaas. (2011). Differential Expression Patterns of Striate Cortex-Enriched Genes among Old World, New World, and Prosimian Primates. Cerebral Cortex. 22(10). 2313–2321. 15 indexed citations
18.
Nagrare, V. S., et al.. (2009). Widespread infestation of the exotic mealybug species,Phenacoccus solenopsis(Tinsley) (Hemiptera: Pseudococcidae), on cotton in India. Bulletin of Entomological Research. 99(5). 537–541. 143 indexed citations
19.
Shukla, Rammohan, et al.. (1979). A Note on Prolonging Vase Life of Bougainvillea. Indian Journal of Horticulture. 36(1). 93–95. 1 indexed citations
20.
Gupta, Meenu & Rammohan Shukla. (1970). Mutation breeding of garden roses: studies on induction of somatic mutations after gamma irradiation of bud-wood.. Progressive Horticulture. 2(3). 69–83. 4 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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