This map shows the geographic impact of B L Kemp'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 B L Kemp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B L Kemp more than expected).
This network shows the impact of papers produced by B L Kemp. 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 B L Kemp. The network helps show where B L Kemp may publish in the future.
Co-authorship network of co-authors of B L Kemp
This figure shows the co-authorship network connecting the top 25 collaborators of B L Kemp.
A scholar is included among the top collaborators of B L Kemp 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 B L Kemp. B L Kemp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Khuri, Fadlo R., Hong Wu, J. Jack Lee, et al.. (2001). Cyclooxygenase-2 overexpression is a marker of poor prognosis in stage I non-small cell lung cancer.. PubMed. 7(4). 861–7.340 indexed citations
3.
Soria, Jean‐Charles, et al.. (2001). TRAIL-R2 is not correlated with p53 status and is rarely mutated in non-small cell lung cancer.. PubMed. 20(6B). 4525–9.24 indexed citations
4.
Herbst, Roy S., Seiji Yano, Hiroki Kuniyasu, et al.. (2000). Differential expression of E-cadherin and type IV collagenase genes predicts outcome in patients with stage I non-small cell lung carcinoma.. PubMed. 6(3). 790–7.96 indexed citations
5.
Zhou, Xian, B L Kemp, Fadlo R. Khuri, et al.. (2000). Prognostic implication of microsatellite alteration profiles in early-stage non-small cell lung cancer.. PubMed. 6(2). 559–65.42 indexed citations
6.
Wang, Li, et al.. (2000). C-CAM1, a candidate tumor suppressor gene, is abnormally expressed in primary lung cancers.. PubMed. 6(8). 2988–93.36 indexed citations
7.
Tseng, Jennifer, B L Kemp, Fadlo R. Khuri, et al.. (1999). Loss of Fhit is frequent in stage I non-small cell lung cancer and in the lungs of chronic smokers.. PubMed. 59(19). 4798–803.80 indexed citations
Kemp, B L, et al.. (1999). Expression of DMBT1, a candidate tumor suppressor gene, is frequently lost in lung cancer.. PubMed. 59(8). 1846–51.91 indexed citations
Roth, Jack A., S.G. Swisher, James A. Merritt, et al.. (1998). Gene therapy for non-small cell lung cancer: a preliminary report of a phase I trial of adenoviral p53 gene replacement.. PubMed. 25(3 Suppl 8). 33–7.91 indexed citations
14.
Wu, Xifeng, Christopher I. Amos, B L Kemp, et al.. (1998). Cytochrome P450 2E1 DraI polymorphisms in lung cancer in minority populations.. PubMed. 7(1). 13–8.64 indexed citations
Roth, Jack A., S.G. Swisher, David Lawrence, et al.. (1997). Gene replacement for lung cancer. Lung Cancer. 18. 76–76.1 indexed citations
17.
Kemp, B L, et al.. (1996). Calcofluor white stain for the detection of Pneumocystis carinii in transbronchial lung biopsy specimens: a study of 68 cases.. PubMed. 9(8). 861–4.10 indexed citations
El‐Naggar, Adel K., B L Kemp, Nour Sneige, et al.. (1996). Bivariate RNA and DNA content analysis in breast carcinoma: biological significance of RNA content.. PubMed. 2(2). 419–26.5 indexed citations
20.
Saleem, Ali Faisal, et al.. (1991). Acute myelofibrosis--a leukemia of pluripotent stem cell. A report of three cases and review of the literature.. PubMed. 20(6). 409–14.10 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.