Annamma Mathai

527 total citations
58 papers, 413 citations indexed

About

Annamma Mathai is a scholar working on Epidemiology, Surgery and Infectious Diseases. According to data from OpenAlex, Annamma Mathai has authored 58 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 26 papers in Surgery and 25 papers in Infectious Diseases. Recurrent topics in Annamma Mathai's work include Infectious Diseases and Tuberculosis (25 papers), Tuberculosis Research and Epidemiology (24 papers) and Mycobacterium research and diagnosis (20 papers). Annamma Mathai is often cited by papers focused on Infectious Diseases and Tuberculosis (25 papers), Tuberculosis Research and Epidemiology (24 papers) and Mycobacterium research and diagnosis (20 papers). Annamma Mathai collaborates with scholars based in India. Annamma Mathai's co-authors include V. V. Radhakrishnan, Masaki Sumi, Sudheeran Kannoth, Vivek Nambiar, Shobha Sehgal, S. Sumi, Vaidehi Krishnan, C. Sudha Kartha, Shanmuga Sundaram Palaniswamy and Shobha Sehgal and has published in prestigious journals such as Neurology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Annamma Mathai

50 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annamma Mathai India 12 179 155 143 122 56 58 413
Ryan Schubert United States 12 57 0.3× 66 0.4× 74 0.5× 89 0.7× 38 0.7× 16 488
Song‐Chei Huang Taiwan 11 112 0.6× 79 0.5× 113 0.8× 78 0.6× 52 0.9× 32 406
M Matsuda Japan 14 56 0.3× 95 0.6× 68 0.5× 118 1.0× 37 0.7× 43 587
Hélio Rodrigues Gomes Brazil 12 65 0.4× 38 0.2× 62 0.4× 107 0.9× 22 0.4× 31 369
Rawiphan Witoonpanich Thailand 10 57 0.3× 44 0.3× 53 0.4× 119 1.0× 50 0.9× 32 366
Sushil Kumar Jaiswal India 10 92 0.5× 110 0.7× 82 0.6× 17 0.1× 11 0.2× 30 409
Jeremy Rich United States 9 112 0.6× 57 0.4× 72 0.5× 102 0.8× 4 0.1× 9 492
Jenny Ahlqvist Sweden 11 94 0.5× 28 0.2× 274 1.9× 24 0.2× 26 0.5× 13 459
Dominic O. Co United States 12 161 0.9× 71 0.5× 190 1.3× 23 0.2× 13 0.2× 27 517
Christiane Caudie France 14 109 0.6× 28 0.2× 81 0.6× 451 3.7× 246 4.4× 49 709

Countries citing papers authored by Annamma Mathai

Since Specialization
Citations

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

Fields of papers citing papers by Annamma Mathai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annamma Mathai

This figure shows the co-authorship network connecting the top 25 collaborators of Annamma Mathai. A scholar is included among the top collaborators of Annamma Mathai 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 Annamma Mathai. Annamma Mathai 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.
Mathai, Annamma, et al.. (2025). Seropositivity rate of IGLON 5– A retrospective laboratory based study from India. Journal of Neuroimmunology. 404. 578624–578624.
2.
Kannoth, Sudheeran, et al.. (2025). MOG positive primary autoimmune meningitis mimicking tuberculous meningitis: a case series. BMJ Neurology Open. 7(1). e000999–e000999.
3.
4.
Kannoth, Sudheeran, et al.. (2023). The prevalence and clinical phenotype of dual seropositive neuromyelitis optica spectrum disorders at a national reference center in South Asia. Multiple Sclerosis and Related Disorders. 75. 104736–104736. 1 indexed citations
5.
Nambiar, Vivek, et al.. (2022). Autoimmune parkinsonism with faciobrachiocrural dystonic seizures: a new phenotype of leucine-rich glioma-inactivated 1 (LGI1) autoimmunity. Acta Neurologica Belgica. 122(5). 1323–1328. 3 indexed citations
6.
Mathai, Annamma, et al.. (2020). Prozone phenomenon observed in indirect immunofluorescence assay by antibodies against neuronal antigens. Journal of Neuroimmunology. 349. 577415–577415. 3 indexed citations
7.
Kannoth, Sudheeran, et al.. (2017). Expanding spectrum of contactin-associated protein 2 (CASPR2) autoimmunity—syndrome of parkinsonism and ataxia. Neurological Sciences. 39(3). 455–460. 25 indexed citations
8.
Kannoth, Sudheeran, et al.. (2016). Autoimmune atypical parkinsonism — A group of treatable parkinsonism. Journal of the Neurological Sciences. 362. 40–46. 28 indexed citations
9.
Mathai, Annamma, et al.. (2015). Autoimmune encephalitis: Clinical diagnosis versus antibody confirmation. Annals of Indian Academy of Neurology. 18(4). 408–408. 11 indexed citations
10.
Sumi, S., Annamma Mathai, & V. V. Radhakrishnan. (2009). Dot-Immunobinding Assay. Methods in molecular biology. 536. 89–93. 10 indexed citations
11.
Radhakrishnan, V. V., et al.. (2003). Serum tumour necrosis factor-α and soluble tumour necrosis factor receptors levels in patients with Guillain-Barre syndrome. Acta Neurologica Scandinavica. 109(1). 71–74. 39 indexed citations
12.
Sumi, Masaki, et al.. (2002). A comparative evaluation of dot immunobinding assay (Dot-Iba) and polymerase chain reaction (PCR) for the laboratory diagnosis of tuberculous meningitis. Diagnostic Microbiology and Infectious Disease. 42(1). 35–38. 23 indexed citations
13.
Mathai, Annamma, et al.. (2001). A newer approach for the laboratory diagnosis of tuberculous meningitis. Diagnostic Microbiology and Infectious Disease. 39(4). 225–228. 6 indexed citations
14.
Mathai, Annamma, V. V. Radhakrishnan, & Shobha Sehgal. (1994). Diagnosis of tuberculous meningitis confirmed by means of an immunoblot method. Journal of Infection. 29(1). 33–39. 1 indexed citations
15.
Radhakrishnan, V. V., et al.. (1991). Immunohistochemical demonstration of mycobacterial antigens in intracranial tuberculoma.. PubMed. 29(7). 641–4. 14 indexed citations
16.
Mathai, Annamma, et al.. (1991). Rapid diagnosis of tuberculous meningitis with a dot enzyme immunoassay to detect antibody in cerebrospinal fluid. European Journal of Clinical Microbiology & Infectious Diseases. 10(5). 440–443. 6 indexed citations
17.
Radhakrishnan, V. V. & Annamma Mathai. (1991). A dot‐immunobinding assay for the laboratory diagnosis of tuberculous meningitis and its comparison with enzyme‐linked immunosorbent assay. Journal of Applied Bacteriology. 71(5). 428–433. 6 indexed citations
18.
Radhakrishnan, V. V. & Annamma Mathai. (1991). Detection of Mycobacterium tuberculosis Antigen 5 in Cerebrospinal Fluid by Inhibition ELISA and Its Diagnostic Potential in Tuberculous Meningitis. The Journal of Infectious Diseases. 163(3). 650–652. 17 indexed citations
19.
Radhakrishnan, V. V. & Annamma Mathai. (1990). Detection of mycobacterial antigen in cerebrospinal fluid: diagnostic and prognostic significance. Journal of the Neurological Sciences. 99(1). 93–99. 6 indexed citations
20.
Radhakrishnan, V. V., Shobha Sehgal, & Annamma Mathai. (1990). Correlation between culture of Mycobacterium tuberculosis and detection of mycobacterial antigens in cerebrospinal fluid of patients with tuberculous meningitis. Journal of Medical Microbiology. 33(4). 223–226. 11 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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