Ramesh Halder

2.3k total citations
40 papers, 1.9k citations indexed

About

Ramesh Halder is a scholar working on Immunology, Infectious Diseases and Neurology. According to data from OpenAlex, Ramesh Halder has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Neurology. Recurrent topics in Ramesh Halder's work include Immune Cell Function and Interaction (24 papers), T-cell and B-cell Immunology (23 papers) and Viral gastroenteritis research and epidemiology (4 papers). Ramesh Halder is often cited by papers focused on Immune Cell Function and Interaction (24 papers), T-cell and B-cell Immunology (23 papers) and Viral gastroenteritis research and epidemiology (4 papers). Ramesh Halder collaborates with scholars based in United States, Japan and Bangladesh. Ramesh Halder's co-authors include Vipin Kumar, Igor Maricic, Carlos Aguilera, Susanna Cardell, Toru Abo, Milan Fiala, Hisami Watanabe, Hiroho Sekikawa, Dirk M. Zajonc and Sufi Morshed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Ramesh Halder

38 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Halder United States 22 1.5k 321 219 136 133 40 1.9k
Xunxiang Du United States 9 773 0.5× 276 0.9× 353 1.6× 188 1.4× 158 1.2× 10 1.4k
Wenji Piao United States 21 1.1k 0.7× 261 0.8× 490 2.2× 118 0.9× 262 2.0× 42 1.8k
Rachel A. Gottschalk United States 17 1.2k 0.8× 440 1.4× 494 2.3× 101 0.7× 99 0.7× 36 1.9k
Maureen N. Ajuebor United States 23 945 0.6× 362 1.1× 370 1.7× 128 0.9× 284 2.1× 31 1.9k
Diego Mourão‐Sá United Kingdom 13 912 0.6× 320 1.0× 582 2.7× 149 1.1× 119 0.9× 15 1.8k
Jillian R. Christensen United Kingdom 11 1.2k 0.8× 196 0.6× 249 1.1× 167 1.2× 110 0.8× 16 1.6k
Sharon H. Jackson United States 16 847 0.6× 188 0.6× 530 2.4× 137 1.0× 103 0.8× 25 1.5k
Sidney R. Smith United States 17 924 0.6× 256 0.8× 201 0.9× 162 1.2× 124 0.9× 39 1.5k
Yoshiko Habu Japan 23 1.2k 0.8× 218 0.7× 264 1.2× 93 0.7× 311 2.3× 32 1.9k

Countries citing papers authored by Ramesh Halder

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Halder

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Halder. A scholar is included among the top collaborators of Ramesh Halder 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 Ramesh Halder. Ramesh Halder 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.
Halder, Ramesh, et al.. (2016). Diprosopus twin. Sri Lanka Journal of Child Health. 45(3). 231–232.
2.
3.
Singh, Ram Raj, Jun‐Qi Yang, Peter J. Kim, & Ramesh Halder. (2013). Germline deletion of β2 microglobulin or CD1d reduces anti-phospholipid antibody, but increases autoantibodies against non-phospholipid antigens in the NZB/W F1 model of lupus. Arthritis Research & Therapy. 15(2). R47–R47. 5 indexed citations
4.
Halder, Ramesh, et al.. (2010). Sulfatide administration leads to inhibition of HIV-1 replication and enhanced hematopoeisis.. PubMed. 5(1). 33–42. 22 indexed citations
5.
Gabaglia, Claudia Raja, Alexandra DeLaney, Jennifer M. Gee, et al.. (2010). Treatment combining RU486 and Ad5IL-12 vector attenuates the growth of experimentally formed prostate tumors and induces changes in the sentinel lymph nodes of mice. Journal of Translational Medicine. 8(1). 98–98. 11 indexed citations
6.
Parekh, Vrajesh V., Saif Lalani, Sungjune Kim, et al.. (2009). PD-1/PD-L Blockade Prevents Anergy Induction and Enhances the Anti-Tumor Activities of Glycolipid-Activated Invariant NKT Cells. The Journal of Immunology. 182(5). 2816–2826. 164 indexed citations
7.
Maricic, Igor, et al.. (2008). Involvement of Secretory and Endosomal Compartments in Presentation of an Exogenous Self-Glycolipid to Type II NKT Cells. The Journal of Immunology. 180(5). 2942–2950. 48 indexed citations
8.
Ambrosino, Elena, Masaki Terabe, Ramesh Halder, et al.. (2007). Cross-Regulation between Type I and Type II NKT Cells in Regulating Tumor Immunity: A New Immunoregulatory Axis. The Journal of Immunology. 179(8). 5126–5136. 168 indexed citations
9.
Halder, Ramesh, Carlos Aguilera, Igor Maricic, & Vipin Kumar. (2007). Type II NKT cell–mediated anergy induction in type I NKT cells prevents inflammatory liver disease. Journal of Clinical Investigation. 117(8). 2302–2312. 192 indexed citations
10.
Halder, Ramesh, et al.. (2006). Mini Review: Immune Response to Myelin-Derived Sulfatide and CNS-Demyelination. Neurochemical Research. 32(2). 257–262. 43 indexed citations
11.
Zajonc, Dirk M., Igor Maricic, Douglass Wu, et al.. (2005). Structural basis for CD1d presentation of a sulfatide derived from myelin and its implications for autoimmunity. The Journal of Experimental Medicine. 202(11). 1517–1526. 162 indexed citations
12.
Maricic, Igor, et al.. (2004). Prevention of Autoimmunity by Targeting a Distinct, Noninvariant CD1d-reactive T Cell Population Reactive to Sulfatide. The Journal of Experimental Medicine. 199(7). 947–957. 330 indexed citations
13.
Halder, Ramesh, Tetsuya Abe, Sufi Morshed, et al.. (2003). Onset of hepatic erythropoiesis after malarial infection in mice. Parasitology International. 52(4). 259–268. 17 indexed citations
14.
Watanabe, Hisami, Chikako Miyaji, Hiroho Sekikawa, et al.. (2003). Expansion of unconventional T cells with natural killer markers in malaria patients. Parasitology International. 52(1). 61–70. 31 indexed citations
15.
Halder, Ramesh, Sufi Morshed, Hiroki Kawamura, et al.. (2002). Essential Role of Extrathymic T Cells in Protection Against Malaria. The Journal of Immunology. 169(1). 301–306. 46 indexed citations
16.
Morshed, Sufi, Kaiissar Mannoor, Ramesh Halder, et al.. (2002). Tissue-specific expansion of NKT and CD5+B cells at the onset of autoimmune disease in (NZB×NZW)F1 mice. European Journal of Immunology. 32(9). 2551–2561. 55 indexed citations
17.
18.
Sekikawa, Hiroho, Hisami Watanabe, Sufi Morshed, et al.. (2001). Association of Intermediate T Cell Receptor Cells, Mainly Their NK1.1− Subset, with Protection from Malaria. Cellular Immunology. 207(1). 28–35. 29 indexed citations
19.
Yamagiwa, Satoshi, Yoshitoku Yoshida, Ramesh Halder, et al.. (2001). Mechanisms Involved in Enteropathy Induced by Administration of Nonsteroidal Antiinflammatory Drugs (NSAIDS). Digestive Diseases and Sciences. 46(1). 192–199. 18 indexed citations
20.

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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