M. B. Adarsh

400 citations
17 papers · 194 · h-index 7

Impact in

Papers in

M. B. Adarsh

17 papers receiving 191 citations

Peers

M. B. Adarsh
Comparison fields: 5 of 42
  • Rheumatology 45
  • Pathology and Forensic Medicine 48
  • Neurology 39
  • Dermatology 17
  • Infectious Diseases 36
Replace Ajay Narayan Gangopadhyay with:
Ajay Narayan Gangopadhyay India
Lucrezia Verardi Italy
Brahim El Mostarchid Morocco
Yonit Tavor Israel
Hanns‐Martin Lorenz Germany
Anusha Ramanathan United States
Nabil Belfeki France
Rubén Fernández-Álvarez Spain
Xin Rong Lim Singapore
Álvaro Abarzúa Chile
M. B. Adarsh relative to Ajay Narayan Gangopadhyay India Ajay Narayan Gangopadhyay's profile →
Citations per field
00.5×3.6×
Ajay Narayan Gangopadhyay · 1×
Citations per year

Countries citing papers authored by M. B. Adarsh

Since Specialization
Citations

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

Fields of papers citing papers by M. B. Adarsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. B. Adarsh. 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 M. B. Adarsh. The network helps show where M. B. Adarsh may publish in the future.

Co-authors

The 25 scholars most cited alongside M. B. Adarsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. B. Adarsh Line = papers co-authored together M. B. Adarsh links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202076
2 201933
3 201919
4 201713
5 202010
6 20199
7 20196
8 20196
9 20215
10 20214
11 20204
12 20213
13 20172
14 20181
15
Anti Ku antibody is associated with haematological manifestations but not with overlap features in systemic lupus erythematosus.
20211
16 20201
17 20141

About M. B. Adarsh

M. B. Adarsh is a scholar working on Rheumatology, Pathology and Forensic Medicine, Infectious Diseases, Hematology and Immunology, having authored 17 papers that have together received 194 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (4 papers), Systemic Lupus Erythematosus Research (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Tuberculosis Research and Epidemiology (1 paper), Dermatologic Treatments and Research (1 paper), Mosquito-borne diseases and control (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Rheumatology (45 citations), Pathology and Forensic Medicine (48 citations), Neurology (39 citations), Dermatology (17 citations) and Infectious Diseases (36 citations). M. B. Adarsh has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Vir Singh Negi, Chengappa Kavadichanda, Saibal Das, Debashish Danda, Varun Dhir, Shefali Sharma, Sanjay Jain, GSRSNK Naidu, Sahajal Dhooria and Anindita Sinha. Their work appears in journals such as Lupus, Clinical Rheumatology, Clinical and Experimental Rheumatology, Lara D. Veeken and Annals of the Rheumatic Diseases.

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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