Maneesh Kumar Misra

514 total citations
26 papers, 371 citations indexed

About

Maneesh Kumar Misra is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Maneesh Kumar Misra has authored 26 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Maneesh Kumar Misra's work include Reproductive System and Pregnancy (9 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (7 papers). Maneesh Kumar Misra is often cited by papers focused on Reproductive System and Pregnancy (9 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (7 papers). Maneesh Kumar Misra collaborates with scholars based in United States, India and Germany. Maneesh Kumar Misra's co-authors include Suraksha Agrawal, Jill A. Hollenbach, Vincent Damotte, Shubha R. Phadke, Swayam Prakash, Rakesh Kapoor, S. Agrawal, Raj Kumar Sharma, Farah Parveen and Raj Kumar Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology and Gene.

In The Last Decade

Maneesh Kumar Misra

23 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maneesh Kumar Misra United States 11 236 61 55 41 40 26 371
Soren Hayrabedyan Bulgaria 14 220 0.9× 75 1.2× 160 2.9× 2 0.0× 10 0.3× 38 464
Guy André Voisin France 11 326 1.4× 73 1.2× 117 2.1× 3 0.1× 30 0.8× 20 492
Wesley M. Marin United States 10 269 1.1× 7 0.1× 43 0.8× 12 0.3× 35 0.9× 15 357
Carola Prato Italy 9 448 1.9× 66 1.1× 51 0.9× 10 0.3× 9 540
Antoine Perchellet United States 8 281 1.2× 32 0.5× 37 0.7× 1 0.0× 27 0.7× 8 362
Nina Kursawe Germany 7 294 1.2× 28 0.5× 71 1.3× 11 0.3× 8 388
Lisa E. Creary United States 10 145 0.6× 19 0.3× 89 1.6× 27 0.7× 46 1.1× 21 428
Carol Aristimuño Spain 10 261 1.1× 31 0.5× 18 0.3× 23 0.6× 10 360
Clara Franco‐Jarava Spain 10 187 0.8× 35 0.6× 54 1.0× 2 0.0× 8 0.2× 33 352
Ellen M. Ross United Kingdom 9 272 1.2× 6 0.1× 60 1.1× 8 0.2× 7 0.2× 13 418

Countries citing papers authored by Maneesh Kumar Misra

Since Specialization
Citations

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

Fields of papers citing papers by Maneesh Kumar Misra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maneesh Kumar Misra. 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 Maneesh Kumar Misra. The network helps show where Maneesh Kumar Misra may publish in the future.

Co-authorship network of co-authors of Maneesh Kumar Misra

This figure shows the co-authorship network connecting the top 25 collaborators of Maneesh Kumar Misra. A scholar is included among the top collaborators of Maneesh Kumar Misra 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 Maneesh Kumar Misra. Maneesh Kumar Misra 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.
2.
Misra, Maneesh Kumar, Nicholas K. Brown, & Susana R. Marino. (2024). Next‐generation sequencing identifies two novel HLA‐DPB1 alleles: HLA‐DPB1*1069:01 and DPB1*1072:01. HLA. 103(2). e15368–e15368. 2 indexed citations
3.
4.
Montero-Martín, Gonzalo, Maneesh Kumar Misra, Wesley M. Marin, et al.. (2023). Exceptional diversity of KIR and HLA class I in Egypt. HLA. 103(1). e15177–e15177. 1 indexed citations
5.
Misra, Maneesh Kumar, Nicholas K. Brown, Michael R. Bishop, et al.. (2019). Effective desensitization for a strong donor‐specific HLA antibody in a case of HLA‐mismatched allogeneic hematopoietic cell transplantation. HLA. 94(3). 307–311. 3 indexed citations
6.
7.
Misra, Maneesh Kumar, Vincent Damotte, & Jill A. Hollenbach. (2018). Structure-based selection of human metabolite binding P4 pocket of DRB1*15:01 and DRB1*15:03, with implications for multiple sclerosis. Genes and Immunity. 20(1). 46–55. 8 indexed citations
8.
Prakash, Swayam, Maneesh Kumar Misra, & Suraksha Agrawal. (2017). Non-Classical Human Leukocyte Antigen-G Allelic Diversity Among North Indians. 2(1). 1–9. 2 indexed citations
9.
10.
Misra, Maneesh Kumar, et al.. (2016). Association of functional genetic variants of CTLA4 with reduced serum CTLA4 protein levels and increased risk of idiopathic recurrent miscarriages. Fertility and Sterility. 106(5). 1115–1123.e6. 22 indexed citations
11.
Misra, Maneesh Kumar, et al.. (2016). Co-stimulatory CD28 and transcription factor NFKB1 gene variants affect idiopathic recurrent miscarriages. Journal of Human Genetics. 61(12). 1035–1041. 4 indexed citations
12.
Misra, Maneesh Kumar, Swayam Prakash, Nirmalya Roy Moulik, Archana Kumar, & Suraksha Agrawal. (2015). Genetic associations of killer immunoglobulin like receptors and class I human leukocyte antigens on childhood acute lymphoblastic leukemia among north Indians. Human Immunology. 77(1). 41–46. 25 indexed citations
13.
Misra, Maneesh Kumar, et al.. (2015). Genetic variation in Micro-RNA genes of host genome affects clinical manifestation of symptomatic Human Cytomegalovirus infection. Human Immunology. 76(10). 765–769. 6 indexed citations
14.
Misra, Maneesh Kumar, Shashi Pandey‐Rai, Rakesh Kapoor, Raj Kumar Sharma, & Suraksha Agrawal. (2014). Cytotoxic T-lymphocyte antigen 4 gene polymorphism influences the incidence of symptomatic human cytomegalovirus infection after renal transplantation. Pharmacogenetics and Genomics. 25(1). 19–29. 10 indexed citations
15.
Misra, Maneesh Kumar, Shashi Pandey‐Rai, Rakesh Kapoor, Raj Kumar Sharma, & Suraksha Agrawal. (2014). Genetic variants of MicroRNA-related genes in susceptibility and prognosis of end-stage renal disease and renal allograft outcome among north Indians. Pharmacogenetics and Genomics. 24(9). 442–450. 14 indexed citations
16.
Saxena, Deepti, Maneesh Kumar Misra, Farah Parveen, Shubha R. Phadke, & S. Agrawal. (2014). The transcription factor Forkhead Box P3 gene variants affect idiopathic recurrent pregnancy loss. Placenta. 36(2). 226–231. 45 indexed citations
17.
Misra, Maneesh Kumar, et al.. (2014). HLA-G gene expression influenced at allelic level in association with end stage renal disease and acute allograft rejection. Human Immunology. 75(8). 833–839. 23 indexed citations
18.
Agrawal, Divya, Swayam Prakash, Maneesh Kumar Misra, Shubha R. Phadke, & Suraksha Agrawal. (2014). Implication of HLA-G 5′ upstream regulatory region polymorphisms in idiopathic recurrent spontaneous abortions. Reproductive BioMedicine Online. 30(1). 82–91. 21 indexed citations
19.
Parveen, Farah, et al.. (2014). Platelet-specific collagen receptor glycoprotein VI gene variants affect recurrent pregnancy loss. Fertility and Sterility. 102(4). 1078–1084.e3. 8 indexed citations
20.
Misra, Maneesh Kumar, et al.. (2013). Association of CTLA-4 Gene Polymorphism with End-Stage Renal Disease and Renal Allograft Outcome. Journal of Interferon & Cytokine Research. 34(3). 148–161. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Soren Hayrabedyan Breakdown of academic impact, for papers by Guy André Voisin Breakdown of academic impact, for papers by Wesley M. Marin Breakdown of academic impact, for papers by Carola Prato Breakdown of academic impact, for papers by Antoine Perchellet Breakdown of academic impact, for papers by Nina Kursawe Breakdown of academic impact, for papers by Lisa E. Creary Breakdown of academic impact, for papers by Carol Aristimuño Breakdown of academic impact, for papers by Clara Franco‐Jarava Breakdown of academic impact, for papers by Ellen M. Ross
Rankless by CCL
2026