Fathima Rahman

471 total citations
19 papers, 290 citations indexed

About

Fathima Rahman is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Fathima Rahman has authored 19 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 14 papers in Epidemiology and 7 papers in Surgery. Recurrent topics in Fathima Rahman's work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (10 papers) and Infectious Diseases and Tuberculosis (5 papers). Fathima Rahman is often cited by papers focused on Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (10 papers) and Infectious Diseases and Tuberculosis (5 papers). Fathima Rahman collaborates with scholars based in India, Pakistan and Malaysia. Fathima Rahman's co-authors include C N Paramasivan, N Selvakumar, P R Narayanan, Rajeswari Ramachandran, K Thyagarajan, A. Narayana, Thomas R. Frieden, S. Rajasekaran, Rehana Begum and G Ravichandran and has published in prestigious journals such as JAMA, Journal of Clinical Microbiology and BMJ Open.

In The Last Decade

Fathima Rahman

18 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fathima Rahman India 10 224 187 116 25 23 19 290
M A Hossain Bangladesh 8 397 1.8× 350 1.9× 125 1.1× 47 1.9× 16 0.7× 20 440
Elisa H. Ignatius United States 9 272 1.2× 211 1.1× 78 0.7× 45 1.8× 10 0.4× 14 327
Lisa C. Goldfeder United States 8 312 1.4× 234 1.3× 148 1.3× 48 1.9× 47 2.0× 11 381
F.I. Ngowi United Kingdom 7 263 1.2× 227 1.2× 114 1.0× 19 0.8× 21 0.9× 10 334
Charles Mtabho Tanzania 10 216 1.0× 153 0.8× 100 0.9× 32 1.3× 47 2.0× 10 299
Masae Kawamura United States 9 336 1.5× 286 1.5× 178 1.5× 34 1.4× 18 0.8× 18 421
Feishen Lin China 5 184 0.8× 93 0.5× 60 0.5× 53 2.1× 18 0.8× 10 231
P T Davidson United States 9 239 1.1× 237 1.3× 86 0.7× 27 1.1× 5 0.2× 14 337
Juergen Prattes Austria 10 254 1.1× 186 1.0× 38 0.3× 16 0.6× 29 1.3× 16 308
Lilian Tina Minja Tanzania 8 278 1.2× 194 1.0× 77 0.7× 28 1.1× 22 1.0× 15 324

Countries citing papers authored by Fathima Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Fathima Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fathima Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Fathima Rahman. A scholar is included among the top collaborators of Fathima Rahman 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 Fathima Rahman. Fathima Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Rahman, Fathima, Mahmoud Danaee, Melanie Boeckmann, et al.. (2025). An mHealth (Mobile Health) Intervention for Smoking Cessation in People With Tuberculosis. JAMA. 335(4). 336–336.
3.
Kumar, Vanaja, et al.. (2015). Revisiting the susceptibility testing of Mycobacterium tuberculosis to ethionamide in solid culture medium. The Indian Journal of Medical Research. 142(5). 538–538. 2 indexed citations
4.
Ramachandran, Ranjani, et al.. (2014). Stratifying low level Isoniazid resistance using additional intermediate drug concentration. International Journal of Mycobacteriology. 3(2). 152–154. 1 indexed citations
5.
Kumar, Vanaja, et al.. (2012). Consistency of standard laboratory strain Mycobacterium tuberculosis H 37 Rv with ethionamide susceptibility testing.. PubMed. 135(5). 672–4. 2 indexed citations
6.
Kumar, Vanaja, et al.. (2011). Pattern of ethionamide susceptibility and its association with isoniazid resistance among previously treated tuberculosis patients from India. The Brazilian Journal of Infectious Diseases. 15(6). 619–620. 2 indexed citations
7.
Ramachandran, Ranjani, et al.. (2011). Fast track method for the identification of multi–drug resistant tuberculosis on direct clinical specimen using combined drug media. Asian Pacific Journal of Tropical Disease. 1(1). 47–49. 10 indexed citations
8.
Ramachandran, Rajeswari, et al.. (2009). Assessment of long term status of sputum positive pulmonary TB patients successfully treated with short course chemotherapy.. PubMed. 56(3). 132–40. 26 indexed citations
9.
Rahman, Fathima, et al.. (2007). Simple direct drug susceptibility tests on sputum samples for early detection of resistance in tubercle bacilli.. PubMed. 54(4). 184–9. 2 indexed citations
10.
Swaminathan, Soumya, Rajeswari Ramachandran, Fathima Rahman, et al.. (2007). Sputum conversion at the end of intensive phase of Category-1 regimen in the treatment of pulmonary tuberculosis patients with diabetes mellitus or HIV infection: An analysis of risk factors.. PubMed. 126(5). 452–8. 59 indexed citations
11.
Begum, Rehana, et al.. (2006). Comprehensive findings on clinical, bacteriological, histopathological and therapeutic aspects of cutaneous tuberculosis. Tropical Medicine & International Health. 11(10). 1521–1528. 35 indexed citations
12.
Selvakumar, N, et al.. (2006). Sensitivity of Ziehl-Neelsen method for centrifuged deposit smears of sputum samples transported in cetyl-pyridinium chloride.. PubMed. 124(4). 439–42. 6 indexed citations
13.
Rahman, Fathima, et al.. (2005). In VitroActivity of Fluoroquinolones againstMycobacterium tuberculosis. Journal of Chemotherapy. 17(2). 169–173. 48 indexed citations
14.
Selvakumar, N, et al.. (2005). Comparison of variants of carbol-fuchsin solution in Ziehl-Neelsen for detection of acid-fast bacilli.. PubMed. 9(2). 226–9. 11 indexed citations
15.
Selvakumar, N, Fathima Rahman, Renu Garg, et al.. (2002). Evaluation of the Phenol Ammonium Sulfate Sedimentation Smear Microscopy Method for Diagnosis of Pulmonary Tuberculosis. Journal of Clinical Microbiology. 40(8). 3017–3020. 32 indexed citations
16.
Selvakumar, N, Fathima Rahman, S. Rajasekaran, Narayanan Parameswaran, & Thomas R. Frieden. (2002). Inefficiency of 0.3% Carbol Fuchsin in Ziehl-Neelsen Staining for Detecting Acid-Fast Bacilli. Journal of Clinical Microbiology. 40(8). 3041–3043. 21 indexed citations
17.
Gurumurthy, Prema, et al.. (1990). Salivary levels of isoniazid and rifampicin in tuberculous patients. Tubercle. 71(1). 29–33. 20 indexed citations
18.
Sarma, G.R.K., et al.. (1990). Classification of children as slow or rapid acetylators based on concentrations of isoniazid in saliva following oral administration of body-weight and surface-area-related dosages of the drug.. PubMed. 27(2). 134–42. 9 indexed citations
19.
Gurumurthy, Prema, et al.. (1990). Gastro-intestinal absorption of isoniazid and rifampicin in patients with intestinal tuberculosis. NIRT Institutional Scholarship Repository (National Institute of Research in Tuberculosis). 3 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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