Baohong Ji

2.1k total citations
31 papers, 1.1k citations indexed

About

Baohong Ji is a scholar working on Infectious Diseases, Epidemiology and Organic Chemistry. According to data from OpenAlex, Baohong Ji has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 20 papers in Epidemiology and 4 papers in Organic Chemistry. Recurrent topics in Baohong Ji's work include Mycobacterium research and diagnosis (20 papers), Tuberculosis Research and Epidemiology (17 papers) and Leprosy Research and Treatment (14 papers). Baohong Ji is often cited by papers focused on Mycobacterium research and diagnosis (20 papers), Tuberculosis Research and Epidemiology (17 papers) and Leprosy Research and Treatment (14 papers). Baohong Ji collaborates with scholars based in France, United States and Switzerland. Baohong Ji's co-authors include J Grosset, C. Truffot-Pernot, Aurélie Chauffour, Vincent Jarlier, Nacer Lounis, J. Robert, Pascale Bonnafous, Caroline Maslo, Richard O’Brien and Louis Lévy and has published in prestigious journals such as The Lancet, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Baohong Ji

31 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baohong Ji France 18 846 812 330 159 137 31 1.1k
Aurélie Chauffour France 18 895 1.1× 804 1.0× 293 0.9× 335 2.1× 132 1.0× 35 1.1k
Pamela J. Lindholm-Levy United States 20 1.1k 1.3× 1.0k 1.3× 205 0.6× 405 2.5× 102 0.7× 23 1.3k
L B Heifets United States 9 691 0.8× 669 0.8× 164 0.5× 192 1.2× 62 0.5× 11 841
Kristian Ängeby Sweden 17 847 1.0× 781 1.0× 229 0.7× 161 1.0× 25 0.2× 30 972
Si-Yang Li United States 18 979 1.2× 819 1.0× 228 0.7× 416 2.6× 106 0.8× 27 1.2k
Charoen Chuchottaworn Thailand 12 697 0.8× 609 0.8× 276 0.8× 140 0.9× 32 0.2× 34 877
Rokeya Tasneen United States 20 1.4k 1.7× 998 1.2× 367 1.1× 616 3.9× 30 0.2× 35 1.7k
Gertrud Meißner Germany 10 647 0.8× 682 0.8× 242 0.7× 96 0.6× 50 0.4× 72 853
Chantal Truffot France 7 336 0.4× 406 0.5× 72 0.2× 60 0.4× 85 0.6× 11 467
Tetsuyuki Yoshimatsu Japan 11 1.1k 1.3× 850 1.0× 337 1.0× 412 2.6× 12 0.1× 23 1.3k

Countries citing papers authored by Baohong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Baohong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baohong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Baohong Ji. A scholar is included among the top collaborators of Baohong Ji 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 Baohong Ji. Baohong Ji 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.
Chauty, Annick, Marie-Françoise Ardant, Laurent Marsollier, et al.. (2010). Oral Treatment for Mycobacterium ulcerans Infection: Results From a Pilot Study in Benin. Clinical Infectious Diseases. 52(1). 94–96. 67 indexed citations
2.
Ji, Baohong, et al.. (2009). Impacts of Dosing Frequency of the Combination Rifampin-Streptomycin on Its Bactericidal and Sterilizing Activities against Mycobacterium ulcerans in Mice. Antimicrobial Agents and Chemotherapy. 53(7). 2955–2959. 5 indexed citations
3.
Monot, Marc, Nadine Honoré, Charlotte Balière, et al.. (2008). Are Variable-Number Tandem Repeats Appropriate for GenotypingMycobacterium leprae?. Journal of Clinical Microbiology. 46(7). 2291–2297. 28 indexed citations
4.
Aráoz, Rómulo, Nadine Honoré, Sayera Banu, et al.. (2006). Towards an immunodiagnostic test for leprosy. Microbes and Infection. 8(8). 2270–2276. 40 indexed citations
5.
Lévy, Louis & Baohong Ji. (2006). The mouse foot-pad technique for cultivation of Mycobacterium leprae. Leprosy Review. 77(1). 5–24. 46 indexed citations
6.
Ji, Baohong, et al.. (2006). In Vitro and In Vivo Activities of Rifampin, Streptomycin, Amikacin, Moxifloxacin, R207910, Linezolid, and PA-824 against Mycobacterium ulcerans. Antimicrobial Agents and Chemotherapy. 50(6). 1921–1926. 84 indexed citations
7.
Ji, Baohong, Aurélie Chauffour, Koen Andries, & Vincent Jarlier. (2006). Bactericidal Activities of R207910 and Other Newer Antimicrobial Agents against Mycobacterium leprae in Mice. Antimicrobial Agents and Chemotherapy. 50(4). 1558–1560. 39 indexed citations
8.
Daniel, Nathalie, Nacer Lounis, Baohong Ji, et al.. (2000). Antituberculosis Activity of Once-weekly Rifapentine-containing Regimens in Mice: Long-term Effectiveness with 6- and 8-Month Treatment Regimens. American Journal of Respiratory and Critical Care Medicine. 161(5). 1572–1577. 26 indexed citations
9.
Lounis, Nacer, et al.. (1999). Impacts of interleukin-12 on multiplication of Mycobacterium tuberculosis and Mycobacterium avium complex in mice. Clinical Microbiology and Infection. 5(6). 331–338. 2 indexed citations
10.
Lounis, Nacer, Caroline Maslo, Johan R. Boelaert, et al.. (1999). Impact of iron loading and iron chelation on murine tuberculosis. Clinical Microbiology and Infection. 5(11). 687–692. 6 indexed citations
11.
Grosset, J, Nacer Lounis, C. Truffot-Pernot, et al.. (1998). Once-weekly Rifapentine-containing Regimens for Treatment of Tuberculosis in Mice. American Journal of Respiratory and Critical Care Medicine. 157(5). 1436–1440. 25 indexed citations
12.
13.
Ji, Baohong, Nacer Lounis, Caroline Maslo, et al.. (1998). In Vitro and In Vivo Activities of Moxifloxacin and Clinafloxacin against Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 42(8). 2066–2069. 148 indexed citations
14.
Cambau, Emmanuelle, et al.. (1997). Multidrug-resistance to dapsone, rifampicin, and ofloxacin in Mycobacterium leprae. The Lancet. 349(9045). 103–104. 77 indexed citations
15.
Grosset, J & Baohong Ji. (1997). Prevention of the Selection of Clarithromycin-Resistant Mycobacterium avium-intracellulare Complex. Drugs. 54(Supplement 2). 23–27. 8 indexed citations
16.
Ji, Baohong, Louis Lévy, & J Grosset. (1996). Chemotherapy of leprosy: progress since the Orlando Congress, and prospects for the future.. PubMed. 64(4 Suppl). S80–8; discussion S88. 3 indexed citations
17.
Ji, Baohong, C. Truffot-Pernot, Christian Lacroix, et al.. (1993). Effectiveness of Rifampin, Rifabutin, and Rifapentine for Preventive Therapy of Tuberculosis in Mice. American Review of Respiratory Disease. 148(6_pt_1). 1541–1546. 91 indexed citations
18.
Jamet, P, et al.. (1992). Short-term trial of clofazimine in previously untreated lepromatous leprosy.. PubMed. 60(4). 542–8. 13 indexed citations
19.
Ji, Baohong, et al.. (1984). Hepatotoxicity of combined therapy with rifampicin and daily prothionamide for leprosy. Leprosy Review. 55(3). 283–9. 7 indexed citations
20.

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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