J Kojima

959 total citations
33 papers, 788 citations indexed

About

J Kojima is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, J Kojima has authored 33 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hepatology, 10 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in J Kojima's work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Medical Imaging and Pathology Studies (6 papers). J Kojima is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Medical Imaging and Pathology Studies (6 papers). J Kojima collaborates with scholars based in Japan and United States. J Kojima's co-authors include Hiroshi Kasugai, Yo Sasaki, Shingo Ishiguro, Shingi Imaoka, Shigeru Okuda, Osamu Ishikawa, Hiroaki Ohigashi, Koichiro Omori, Takeshi Iwanaga and Makoto Fujita and has published in prestigious journals such as Gastroenterology, Cancer and Analytical Biochemistry.

In The Last Decade

J Kojima

32 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Kojima Japan 12 523 245 159 155 138 33 788
Yasuro Niwa Japan 10 547 1.0× 380 1.6× 155 1.0× 93 0.6× 38 0.3× 13 818
ST Fan China 8 356 0.7× 163 0.7× 205 1.3× 273 1.8× 139 1.0× 10 799
A. Sérgio Italy 9 546 1.0× 245 1.0× 147 0.9× 174 1.1× 32 0.2× 14 778
Hiroyuki Fuke Japan 14 299 0.6× 225 0.9× 148 0.9× 274 1.8× 41 0.3× 38 746
Iwao Yabuuchi Japan 9 251 0.5× 183 0.7× 65 0.4× 276 1.8× 68 0.5× 17 645
Mikiya Kitamoto Japan 15 589 1.1× 367 1.5× 315 2.0× 226 1.5× 29 0.2× 44 994
O Nakashima Japan 16 498 1.0× 286 1.2× 221 1.4× 128 0.8× 23 0.2× 30 792
Mitsuo Toyoda Japan 13 372 0.7× 220 0.9× 152 1.0× 205 1.3× 31 0.2× 31 684
A. Baldan Italy 7 647 1.2× 306 1.2× 162 1.0× 170 1.1× 26 0.2× 10 862
Guosheng Tan China 12 352 0.7× 124 0.5× 177 1.1× 306 2.0× 59 0.4× 29 852

Countries citing papers authored by J Kojima

Since Specialization
Citations

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

Fields of papers citing papers by J Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of J Kojima. A scholar is included among the top collaborators of J Kojima 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 J Kojima. J Kojima 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.
Kamei, Junzo, et al.. (2007). New approach for chronic renal failure model by direct kidneyinjection of doxorubicin in rats. Methods and Findings in Experimental and Clinical Pharmacology. 29(6). 389–389. 1 indexed citations
2.
3.
Shibata, Masaaki, et al.. (2000). Teratogenic and fetal toxicity following intravenous theophyllineadministration in preganant rabbits is related to maternal drugplasma levels. Methods and Findings in Experimental and Clinical Pharmacology. 22(2). 101–101. 9 indexed citations
4.
Inoue, Atsuo, Hideaki Tsukuma, Akira Oshima, et al.. (2000). Effectiveness of Interferon Therapy for Reducing the Incidence of Hepatocellular Carcinoma among Patients with Type C Chronic Hepatitis.. Journal of Epidemiology. 10(4). 234–240. 18 indexed citations
5.
Sano, Toyomi, et al.. (2000). Effects of intravenous theophylline, aminophylline andethylenediamine on antigen-induced bronchoconstriction in guineapigs. Methods and Findings in Experimental and Clinical Pharmacology. 22(2). 97–97. 3 indexed citations
6.
Matsunaga, Takashi, et al.. (1994). Serum hyaluronate levels predict responsiveness to interferon alpha therapy in patients with chronic hepatitis C. Clinica Chimica Acta. 229(1-2). 191–195. 3 indexed citations
7.
Ishikawa, Osamu, et al.. (1992). [A method for determination of proinsulin levels in serum using both insolubilized anti-insulin antibody and anti-C-peptide antibody].. PubMed. 40(7). 769–74. 1 indexed citations
8.
Hasegawa, Yoshihisa, Takashi Hiyama, Toshikazu Sobue, et al.. (1991). Relationship of uptake of technetium-99m(Sn)-N-pyridoxyl-5-methyltryptophan by hepatocellular carcinoma to prognosis.. PubMed. 32(2). 228–35. 6 indexed citations
9.
Tsukuma, Hideaki, Tomohiko Hiyama, Akira Oshima, et al.. (1990). A case‐control study of hepatocellular carcinoma in osaka, Japan. International Journal of Cancer. 45(2). 231–236. 60 indexed citations
10.
Hasegawa, Yoshihisa, et al.. (1990). Clinical Study of Urinary Excretion of Ga-67. Clinical Nuclear Medicine. 15(4). 260–262. 1 indexed citations
11.
Hasegawa, Yoshihisa, et al.. (1989). Comparison of Delayed Imaging with Tc-99m PMT and Tc-99m DEIDA for Visualization of Hepatoma. Clinical Nuclear Medicine. 14(7). 526–531. 2 indexed citations
12.
Kitamura, Tsugio, et al.. (1989). Recent advances in ultrasonographic diagnosis of hepatocellular carcinoma. Cancer. 63(7). 1313–1317. 28 indexed citations
13.
Kasugai, Hiroshi, J Kojima, Masaharu Tatsuta, et al.. (1989). Treatment of hepatocellular carcinoma by transcatheter arterial embolization combined with intraarterial infusion of a mixture of cisplatin and ethiodized oil. Gastroenterology. 97(4). 965–971. 154 indexed citations
14.
Imaoka, Shingi, Yo Sasaki, Takashi Shibata, et al.. (1989). A pre-operative chemoembolization therapy using lipiodol, cisplatin and gelatin sponge for hepatocellular carcinoma. Cancer Chemotherapy and Pharmacology. 23(S1). S126–S128. 33 indexed citations
15.
Hasegawa, Yoshihisa, S Ishiguro, Susumu Imaoka, et al.. (1988). Comparison of delayed hepatobiliary imaging using 99mTc-Sn-N-pyridoxyl-5-methyltryptophan and 67Ga-citrate imaging for diagnosis of hepatocellular carcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 14-14(7-8). 414–8. 4 indexed citations
16.
Sasaki, Yo, Shingi Imaoka, Makoto Fujita, et al.. (1987). Regional Therapy in the Management of Intrahepatic Recurrence after Surgery for Hepatoma. Annals of Surgery. 206(1). 40–47. 53 indexed citations
17.
Kojima, J, et al.. (1982). Glycosaminoglycans in 3'-methyl-4-dimethylaminoazobenzene-induced rat hepatic cancer.. PubMed. 42(7). 2857–60. 18 indexed citations
18.
Nakamura, N. & J Kojima. (1981). Changes in charge density of heparan sulfate isolated from cancerous human liver tissue.. PubMed. 41(1). 278–83. 34 indexed citations
19.
Nakamura, N., et al.. (1980). Changes in the cellular glycosaminoglycans of cultured mastocytoma cells induced by sodium butyrate. Biochimica et Biophysica Acta (BBA) - General Subjects. 627(1). 60–70. 7 indexed citations
20.
Kojima, J, et al.. (1975). The glycosaminoglycans in human hepatic cancer.. PubMed. 35(3). 542–7. 96 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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