Kiran Katoch

2.5k total citations
55 papers, 829 citations indexed

About

Kiran Katoch is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Kiran Katoch has authored 55 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Infectious Diseases, 39 papers in Epidemiology and 18 papers in Surgery. Recurrent topics in Kiran Katoch's work include Mycobacterium research and diagnosis (37 papers), Leprosy Research and Treatment (33 papers) and Tuberculosis Research and Epidemiology (32 papers). Kiran Katoch is often cited by papers focused on Mycobacterium research and diagnosis (37 papers), Leprosy Research and Treatment (33 papers) and Tuberculosis Research and Epidemiology (32 papers). Kiran Katoch collaborates with scholars based in India, Vietnam and United States. Kiran Katoch's co-authors include Devendra Singh Chauhan, Vishwa Mohan Katoch, V S Yadav, Utpal Sengupta, Meenakshi Singh, Erwin Schurr, Alexandre Alcaïs, Narinder K. Mehra, Nguyen Van Thuc and Laurent Abel and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kiran Katoch

54 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiran Katoch India 15 693 570 295 114 89 55 829
Murdo Macdonald United States 14 689 1.0× 489 0.9× 253 0.9× 300 2.6× 121 1.4× 20 858
Roland V. Cellona United States 18 745 1.1× 541 0.9× 360 1.2× 119 1.0× 57 0.6× 31 871
Jolien J. van der Ploeg-van Schip Netherlands 13 343 0.5× 289 0.5× 190 0.6× 224 2.0× 150 1.7× 15 671
José A. C. Nery Brazil 24 1.1k 1.6× 674 1.2× 548 1.9× 143 1.3× 47 0.5× 45 1.3k
Sulochana D. Das India 17 632 0.9× 533 0.9× 317 1.1× 262 2.3× 82 0.9× 37 863
Anthony M. Cadena United States 9 711 1.0× 480 0.8× 247 0.8× 280 2.5× 202 2.3× 11 926
María Teresa Herrera Mexico 16 544 0.8× 460 0.8× 218 0.7× 264 2.3× 155 1.7× 29 870
M. Teresa Coleman United States 8 894 1.3× 618 1.1× 356 1.2× 302 2.6× 173 1.9× 10 1.1k
William M. Girard United States 10 781 1.1× 971 1.7× 134 0.5× 281 2.5× 98 1.1× 13 1.4k
K Saha India 14 243 0.4× 204 0.4× 104 0.4× 162 1.4× 61 0.7× 70 595

Countries citing papers authored by Kiran Katoch

Since Specialization
Citations

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

Fields of papers citing papers by Kiran Katoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Katoch

This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Katoch. A scholar is included among the top collaborators of Kiran Katoch 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 Kiran Katoch. Kiran Katoch 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
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Bashir, Gulnaz, Pragya Sharma, Vishwa Mohan Katoch, et al.. (2017). Predominance of Central Asian and European families among Mycobacterium tuberculosis isolates in Kashmir Valley, India. Indian Journal of Tuberculosis. 64(4). 302–308. 3 indexed citations
4.
Katoch, Kiran, Abha Aggarwal, Virendra Singh Yadav, & Arvind Pandey. (2017). National sample survey to assess the new case disease burden of leprosy in India. The Indian Journal of Medical Research. 146(5). 585–605. 16 indexed citations
5.
Jee, Babban, et al.. (2017). IL-10 down-regulates the expression of survival associated gene hspX of Mycobacterium tuberculosis in murine macrophage. The Brazilian Journal of Infectious Diseases. 21(4). 386–390. 5 indexed citations
6.
Singh, Itu, Kiran Katoch, Prashant Sharma, et al.. (2015). Molecular mimicry between Mycobacterium leprae proteins (50S ribosomal protein L2 and Lysyl-tRNA synthetase) and myelin basic protein: a possible mechanism of nerve damage in leprosy. Microbes and Infection. 17(4). 247–257. 10 indexed citations
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Vellarikkal, Shamsudheen Karuthedath, Ashok Patowary, Meghna Singh, et al.. (2013). Draft Genome Sequence of a Clinical Isolate of Multidrug-Resistant Mycobacterium tuberculosis East African Indian Strain OSDD271. Genome Announcements. 1(4). 4 indexed citations
9.
Vellarikkal, Shamsudheen Karuthedath, Ajay Vir Singh, Pushpendra Singh, et al.. (2013). Draft Genome Sequence of an Extensively Drug-Resistant Mycobacterium tuberculosis Clinical Isolate of the Ural Strain OSDD493. Genome Announcements. 1(6). 3 indexed citations
10.
Vellarikkal, Shamsudheen Karuthedath, Ajay Vir Singh, Pushpendra Singh, et al.. (2013). Draft Genome Sequence of Multidrug-Resistant Mycobacterium tuberculosis Clinical Isolate OSDD515, Belonging to the Uganda I Genotype. Genome Announcements. 1(6). 2 indexed citations
11.
Alter, Andrea, Vinicius M. Fava, Nguyễn Thu Hương, et al.. (2012). Linkage disequilibrium pattern and age-at-diagnosis are critical for replicating genetic associations across ethnic groups in leprosy. Human Genetics. 132(1). 107–116. 27 indexed citations
12.
Singh, Itu, Kiran Katoch, Deepa Bisht, et al.. (2012). Molecular mimicry between HSP 65 of Mycobacterium leprae and cytokeratin 10 of the host keratin; Role in pathogenesis of leprosy. Cellular Immunology. 278(1-2). 63–75. 18 indexed citations
13.
Gupta, Pushpa, Umesh Datta Gupta, Mohan Natrajan, et al.. (2012). Expression of CXCL10 (IP-10) and CXCL11 (I-TAC) chemokines during Mycobacterium tuberculosis infection and immunoprophylaxis with Mycobacterium indicus pranii (Mw) in guinea pig. Infection Genetics and Evolution. 13. 11–17. 14 indexed citations
14.
Bharti, Richa, Ram Das, Pragya Sharma, Kiran Katoch, & Alok Bhattacharya. (2011). MTCID: A database of genetic polymorphisms in clinical isolates of Mycobacterium tuberculosis. Tuberculosis. 92(2). 166–172. 9 indexed citations
15.
Lavania, Mallika, Kiran Katoch, Ram Das, et al.. (2007). Predominance of three copies of tandem repeats in rpoT gene of Mycobacterium leprae from Northern India. Infection Genetics and Evolution. 7(5). 627–631. 13 indexed citations
16.
Iyer, Anand M., et al.. (2007). Leprosy-specific B-cells within cellular infiltrates in active leprosy lesions. Human Pathology. 38(7). 1065–1073. 27 indexed citations
17.
Kumar, Anil, et al.. (2006). Filariasis in Ghatampur Tahsil of Kanpur Nagar District: indications of high endemicity locus.. PubMed. 38(2). 155–9. 2 indexed citations
18.
Joshi, Beenu, et al.. (2004). Leprosy Reactions: Humoral and Cellular Immune Responses to M. leprae, 65kDa, 28kDa, and 18 kDa Antigens. PubMed. 72(2). 149–149. 6 indexed citations
19.
Katoch, Kiran, et al.. (2004). 10–12 years follow-up of highly bacillated BL/LL leprosy patients on combined chemotherapy and immunotherapy. Vaccine. 22(27-28). 3649–3657. 19 indexed citations
20.
Katoch, Kiran & G Ramu. (1983). Cardiovascular Involvemant in Leprosy Patients. 52(2). 73–81. 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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