Kusum Tom

454 total citations
10 papers, 303 citations indexed

About

Kusum Tom is a scholar working on Surgery, Transplantation and Hepatology. According to data from OpenAlex, Kusum Tom has authored 10 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Transplantation and 4 papers in Hepatology. Recurrent topics in Kusum Tom's work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Liver Disease and Transplantation (3 papers). Kusum Tom is often cited by papers focused on Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Liver Disease and Transplantation (3 papers). Kusum Tom collaborates with scholars based in United States. Kusum Tom's co-authors include Amadeo Marcos, John J. Fung, Ngoc Thai, Paulo Fontes, Anthony J. Demetris, Raymond M. Planinsic, J. Wallis Marsh, Bijan Eghtesad, Thomas Shaw‐Stiffel and Dympna Kelly and has published in prestigious journals such as The American Journal of Surgical Pathology, Transplantation and Human Immunology.

In The Last Decade

Kusum Tom

9 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kusum Tom United States	8	224	185	114	98	41	10	303
Mohammed F. Shaheen Saudi Arabia	8	105 0.5×	62 0.3×	57 0.5×	75 0.8×	27 0.7×	21	223
William D. Payne United States	9	242 1.1×	120 0.6×	39 0.3×	208 2.1×	113 2.8×	10	346
Bev Nikolai United States	5	233 1.0×	349 1.9×	202 1.8×	91 0.9×	11 0.3×	7	439
Nubia Bañuelos United States	7	509 2.3×	306 1.7×	48 0.4×	530 5.4×	14 0.3×	9	619
Anand Muthusamy United Kingdom	5	101 0.5×	44 0.2×	27 0.2×	68 0.7×	59 1.4×	14	179
Fanni Gelley Hungary	10	198 0.9×	201 1.1×	99 0.9×	48 0.5×	68 1.7×	24	306
Stéphanie Ducreux France	7	188 0.8×	50 0.3×	41 0.4×	282 2.9×	30 0.7×	9	311
Ming-Qing Xu China	11	246 1.1×	197 1.1×	75 0.7×	22 0.2×	61 1.5×	31	319
Kathleen De Greef Belgium	9	130 0.6×	140 0.8×	83 0.7×	34 0.3×	60 1.5×	16	287
Bhavna Chopra United States	10	193 0.9×	27 0.1×	49 0.4×	279 2.8×	123 3.0×	30	341

Countries citing papers authored by Kusum Tom

Since Specialization

Citations

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

Fields of papers citing papers by Kusum Tom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kusum Tom

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Thai, Ngoc, Kusum Tom, Mark Doyle, et al.. (2018). Cardio‐hepatic risk assessment by CMR imaging in liver transplant candidates. Clinical Transplantation. 32(5). 12 indexed citations

2.

Kirichenko, Alexander, Olivier Gayou, David S. Parda, et al.. (2015). Stereotactic body radiotherapy (SBRT) with or without surgery for primary and metastatic liver tumors. HPB. 18(1). 88–97. 26 indexed citations

3.

Thai, Ngoc, Kusum Tom, Mark Doyle, et al.. (2013). Exploratory Use of Cardiovascular Magnetic Resonance Imaging in Liver Transplantation. Transplantation. 96(9). 827–833. 11 indexed citations

4.

Sureshkumar, Kalathil K., Sabiha M. Hussain, Richard J. Marcus, et al.. (2011). Proteasome inhibition with bortezomib: an effective therapy for severe antibody mediated rejection after renal transplantation. Clinical Nephrology. 77(3). 246–253. 29 indexed citations

5.

Tan, Henkie P., Ron Shapiro, Kusum Tom, et al.. (2007). Alemtuzumab pretreatment and tacrolimus monotherapy in living-donor liver and kidney transplantation. Expert Review of Pharmacoeconomics & Outcomes Research. 7(2). 113–118. 2 indexed citations

6.

Thai, Ngoc, Akhtar Khan, Kusum Tom, et al.. (2006). Alemtuzumab Induction and Tacrolimus Monotherapy in Pancreas Transplantation: One- and Two-Year Outcomes. Transplantation. 82(12). 1621–1624. 36 indexed citations

7.

Thai, Ngoc, Kusum Tom, Amit Basu, et al.. (2006). Pancreas Transplantation Under Alemtuzumab (Campath-1H) and Tacrolimus: Correlation Between Low T-Cell Responses and Infection. Transplantation. 82(12). 1649–1652. 31 indexed citations

8.

Demetris, Anthony J., Dympna Kelly, Bijan Eghtesad, et al.. (2006). Pathophysiologic Observations and Histopathologic Recognition of the Portal Hyperperfusion or Small-for-Size Syndrome. The American Journal of Surgical Pathology. 30(8). 986–993. 147 indexed citations

9.

Bentlejewski, Carol, Ngoc Thai, Amit Basu, et al.. (2006). 51-P. Human Immunology. 67. S91–S91.

10.

Thai, Ngoc, Kareem Abu‐Elmagd, Geoffrey Bond, et al.. (2004). Pancreatic transplantation at the University of Pittsburgh.. PubMed. 205–14. 9 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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